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S0167947315002017 | We study the property of the Fused Lasso Signal Approximator (FLSA) for estimating a blocky signal sequence with additive noise. We transform the FLSA to an ordinary Lasso problem, and find that in general the resulting design matrix does not satisfy the irrepresentable condition that is known as an almost necessary an... | On stepwise pattern recovery of the fused Lasso |
S0167947315002066 | Financial data are often thick-tailed and exhibit skewness. The versatile Generalized Tukey Lambda (GTL) distribution is able to capture varying degrees of skewness in thin- or thick-tailed data. Such versatility makes the GTL distribution potentially useful in the area of financial risk measurement. Moreover, for GTL-... | Linking Tukey’s legacy to financial risk measurement |
S0167947315002595 | In large scale genomic analyses dealing with detecting genotype–phenotype associations, such as genome wide association studies (GWAS), it is desirable to have numerically and statistically robust procedures to test the stochastic independence null hypothesis against certain alternatives. Motivated by a special case in... | Exploratory failure time analysis in large scale genomics |
S0167947315002716 | Testing whether two or more independent samples arise from a common distribution is a classic problem in statistics. Several multivariate two-sample tests of equality are based on graphs such as the minimum spanning tree, nearest neighbor, and optimal nonbipartite perfect matching. Here, the samples are pooled and the ... | Graph-theoretic multisample tests of equality in distribution for high dimensional data |
S0167947315002935 | Change point models seek to fit a piecewise regression model with unknown breakpoints to a data set whose parameters are suspected to change through time. However, the exponential number of possible solutions to a multiple change point problem requires an efficient algorithm if long time series are to be analyzed. A se... | An exact approach to Bayesian sequential change point detection |
S0167947315003047 | A common problem in modern genetic research is that of comparing the mean vectors of two populations–typically in settings in which the data dimension is larger than the sample size–where Hotelling’s test cannot be applied. Recently, a test using random subspaces was proposed, in which the data are randomly projected i... | A high-dimension two-sample test for the mean using cluster subspaces |
S0167947315003163 | The generalized Pareto distribution (GPD) has been widely used in modelling heavy tail phenomena in many applications. The standard practice is to fit the tail region of the dataset to the GPD separately, a framework known as the peaks-over-threshold (POT) in the extreme value literature. In this paper we propose a new... | Estimating extreme tail risk measures with generalized Pareto distribution |
S0167947315003187 | Hierarchical centering has been described as a reparameterization method applicable to random effects models. It has been shown to improve mixing of models in the context of Markov chain Monte Carlo (MCMC) methods. A hierarchical centering approach is proposed for reversible jump MCMC (RJMCMC) chains which builds upon ... | Using hierarchical centering to facilitate a reversible jump MCMC algorithm for random effects models |
S0167947316000165 | Excess zeroes are often thought of as a cause of data over-dispersion (i.e. when the variance exceeds the mean); this claim is not entirely accurate. In actuality, excess zeroes reduce the mean of a dataset, thus inflating the dispersion index (i.e. the variance divided by the mean). While this results in an increased ... | A flexible zero-inflated model to address data dispersion |
S0167947316000232 | Mahalanobis distance may be used as a measure of the disparity between an individual’s profile of scores and the average profile of a population of controls. The degree to which the individual’s profile is unusual can then be equated to the proportion of the population who would have a larger Mahalanobis distance than ... | On point estimation of the abnormality of a Mahalanobis index |
S0167947316300184 | At about the same time (approximately 1989), R. Liu introduced the notion of simplicial depth and R. Randles the notion of interdirections. These completely independent and seemingly unrelated initiatives, serving different purposes in nonparametric multivariate analysis, have spawned significant activity within their ... | On Liu’s simplicial depth and Randles’ interdirections |
S0167947316300287 | Quantile inference with adjustment for covariates has not been widely investigated on competing risks data. We propose covariate-adjusted quantile inferences based on the cause-specific proportional hazards regression of the cumulative incidence function. We develop the construction of confidence intervals for quantile... | Covariate-adjusted quantile inference with competing risks |
S0167947316300408 | Numerous facets of scientific research implicitly or explicitly call for the estimation of probability densities. Histograms and kernel density estimates (KDEs) are two commonly used techniques for estimating such information, with the KDE generally providing a higher fidelity representation of the probability density ... | A fast and objective multidimensional kernel density estimation method: fastKDE |
S0167947316300500 | We propose Bayesian shrinkage methods for coefficient estimation for high-dimensional vector autoregressive (VAR) models using scale mixtures of multivariate normal distributions for independently sampled additive noises. We also suggest an efficient selection procedure for the shrinkage parameter as a computationally ... | Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise |
S0168169913002135 | Supply chains are increasingly virtualised in response to market challenges and to opportunities offered by nowadays affordable new technologies. Virtual supply chain management does no longer require physical proximity, which implies that control and coordination can take place in other locations and by other partners... | Virtualisation of floricultural supply chains: A review from an Internet of Things perspective |
S0168169913002512 | Site selection for companies is a complex and unstructured problem that must be analyzed carefully and properly, since a localization error could drive to bankrupt. This problem has been discussed widely and effectively using multi-attribute methods in a manufacturing context, but it has been little studied in agribusi... | Multi-attribute evaluation and selection of sites for agricultural product warehouses based on an Analytic Hierarchy Process |
S0168169915000022 | Optimal design and operation of a planned full-scale UASB reactor at a dairy farm are determined using optimization algorithms based on steady state simulations of a dynamic AD process model combined with models of the reactor temperature and heat exchanger temperatures based on energy balances. Available feedstock is ... | Optimal design and operation of a UASB reactor for dairy cattle manure |
S0168169915000459 | The electronic identification of sheep and goats has been obligatory in the European Union since 2010 by means of low-frequency radio-frequency identification systems. The identification of pigs and cattle is currently based on a visual ear tag, but electronic animal identification is gaining in importance. The Europea... | Methodology of a dynamic test bench to test ultra-high-frequency transponder ear tags in motion |
S0168169915000575 | Detailed and timely information on crop area, production and yield is important for the assessment of environmental impacts of agriculture, for the monitoring of the land use and management practices, and for food security early warning systems. A machine learning approach is proposed to model crop rotations which can ... | Assessment of a Markov logic model of crop rotations for early crop mapping |
S0168169915002069 | An advanced, proof-of-concept real-time plant discrimination system is presented that employs two visible (red) laser diodes (635nm, 685nm) and one near-infrared (NIR) laser diode (785nm). The lasers sequentially illuminate the target ground area and a linear sensor array measures the intensities of the reflected laser... | A real-time plant discrimination system utilising discrete reflectance spectroscopy |
S0168169916301260 | In this study we assess the interchangeability and statistical agreement of two prevalent instruments from the non-invasive “sniffer” method and compare their precision. Furthermore, we develop and validate an effective algorithm for aligning time series data from multiple instruments to remove the effects of variable ... | Interchangeability between methane measurements in dairy cows assessed by comparing precision and agreement of two non-invasive infrared methods |
S0168169916301296 | Smart farming is a management style that includes smart monitoring, planning and control of agricultural processes. This management style requires the use of a wide variety of software and hardware systems from multiple vendors. Adoption of smart farming is hampered because of a poor interoperability and data exchange ... | A reference architecture for Farm Software Ecosystems |
S0168169916301399 | Corn height measured manually has shown promising results in improving the relationship between active-optical (AO) sensor readings and crop yield. Manual measurement of corn height is not practical in US commercial corn production, so an alternative automatic method must be found in order to capture the benefit of inc... | Use of corn height measured with an acoustic sensor improves yield estimation with ground based active optical sensors |
S0168874X13000802 | It has been a great challenge for many scientists and engineers to compute elastic–plastic solutions for dynamically loaded cracked structures due to the fact that the solutions are much more complicated and computationally time consuming than corresponding static problems. The path independent integral J ^ F , origina... | Elastic–plastic dynamic fracture analysis for stationary curved cracks |
S0169260713002435 | This study aimed to focus on medical knowledge representation and reasoning using the probabilistic and fuzzy influence processes, implemented in the semantic web, for decision support tasks. Bayesian belief networks (BBNs) and fuzzy cognitive maps (FCMs), as dynamic influence graphs, were applied to handle the task of... | Application of probabilistic and fuzzy cognitive approaches in semantic web framework for medical decision support |
S0169260714001266 | This paper proposes a fast weighted horizontal visibility graph constructing algorithm (FWHVA) to identify seizure from EEG signals. The performance of the FWHVA is evaluated by comparing with Fast Fourier Transform (FFT) and sample entropy (SampEn) method. Two noise-robustness graph features based on the FWHVA, mean d... | Epileptic seizure detection in EEGs signals using a fast weighted horizontal visibility algorithm |
S0169260714001278 | Background and objective Patients who visit emergency department (ED) may have symptoms of occult cancers. Methods We studied a random cohort of one million subjects from Taiwan National Health Insurance Research Database between 2000 and 2008 to evaluate the ED utilization of individuals who were subsequently diagnose... | Emergency department utilization can indicate early diagnosis of digestive tract cancers: A population-based study in Taiwan |
S0169260714001461 | In this paper, the gHRV software tool is presented. It is a simple, free and portable tool developed in python for analysing heart rate variability. It includes a graphical user interface and it can import files in multiple formats, analyse time intervals in the signal, test statistical significance and export the resu... | gHRV: Heart rate variability analysis made easy |
S0169260714001473 | This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is based on the S-Transform, a new time frequency representation (TFR). The S-Transform provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum. We exploit the advantages of the S-Trans... | QRS detection using S-Transform and Shannon energy |
S0169260714001497 | Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammogram breast X-ray is considered the most reliable method in early detection of breast cancer. However, it is difficult for radiologists to provide both accurate and unif... | Computer aided detection system for micro calcifications in digital mammograms |
S0169260714001503 | Identifying the abnormal changes of mental workload (MWL) over time is quite crucial for preventing the accidents due to cognitive overload and inattention of human operators in safety-critical human–machine systems. It is known that various neuroimaging technologies can be used to identify the MWL variations. In order... | Identification of temporal variations in mental workload using locally-linear-embedding-based EEG feature reduction and support-vector-machine-based clustering and classification techniques |
S0169260714001515 | This paper proposes new combined methods to classify normal and epileptic seizure EEG signals using wavelet transform (WT), phase-space reconstruction (PSR), and Euclidean distance (ED) based on a neural network with weighted fuzzy membership functions (NEWFM). WT, PSR, ED, and statistical methods that include frequenc... | Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance |
S0169260714001680 | This paper presents a method for fast computation of Hessian-based enhancement filters, whose conditions for identifying particular structures in medical images are associated only with the signs of Hessian eigenvalues. The computational costs of Hessian-based enhancement filters come mainly from the computation of Hes... | Fast computation of Hessian-based enhancement filters for medical images |
S0169260714001692 | Intestinal abnormalities and ischemia are medical conditions in which inflammation and injury of the intestine are caused by inadequate blood supply. Acute ischemia of the small bowel can be life-threatening. Computed tomography (CT) is currently a gold standard for the diagnosis of acute intestinal ischemia in the eme... | Identification of intestinal wall abnormalities and ischemia by modeling spatial uncertainty in computed tomography imaging findings |
S0169260714001837 | Objective Many regional programs of the countries educate asthmatic children and their families to manage healthcare data. This study aims to establish a Web-based self-management system, eAsthmaCare, to promote the electronic healthcare (e-Healthcare) services for the asthmatic children in Taiwan. The platform can per... | Development of online diary and self-management system on e-Healthcare for asthmatic children in Taiwan |
S0169260714002041 | The three-parameter Rayleigh damping (RD) model applied to time-harmonic Magnetic Resonance Elastography (MRE) has potential to better characterise fluid-saturated tissue systems. However, it is not uniquely identifiable at a single frequency. One solution to this problem involves simultaneous inverse problem solution ... | Parametric-based brain Magnetic Resonance Elastography using a Rayleigh damping material model |
S0169260714002053 | In this paper, a passive planar micromixer with ellipse-like micropillars is proposed to operate in the laminar flow regime for high mixing efficiency. With a splitting and recombination (SAR) concept, the diffusion distance of the fluids in a micromixer with ellipse-like micropillars was decreased. Thus, space usage f... | An efficient passive planar micromixer with ellipse-like micropillars for continuous mixing of human blood |
S0169260714002065 | In this paper we propose a class of flexible weight functions for use in comparison of two cumulative incidence functions. The proposed weights allow the users to focus their comparison on an early or a late time period post treatment or to treat all time points with equal emphasis. These weight functions can be used t... | Weighted comparison of two cumulative incidence functions with R-CIFsmry package |
S0169260714002077 | Active contours are image segmentation methods that minimize the total energy of the contour to be segmented. Among the active contour methods, the radial methods have lower computational complexity and can be applied in real time. This work aims to present a new radial active contour technique, called pSnakes, using t... | pSnakes: A new radial active contour model and its application in the segmentation of the left ventricle from echocardiographic images |
S0169260714002089 | Interpenetrated polymer networks (IPNs), composed by two independent polymeric networks that spatially interpenetrate, are considered as valuable systems to control permeability and mechanical properties of hydrogels for biomedical applications. Specifically, poly(ethyl acrylate) (PEA)–poly(2-hydroxyethyl acrylate) (PH... | Computational analysis of cartilage implants based on an interpenetrated polymer network for tissue repairing |
S0169260714002107 | In this paper the model predictive control (MPC) technology is used for tackling the optimal drug administration problem. The important advantage of MPC compared to other control technologies is that it explicitly takes into account the constraints of the system. In particular, for drug treatments of living organisms, ... | Robust model predictive control for optimal continuous drug administration |
S0169260714002351 | Pressure ulcers (PrU) are considered as one of the most challenging problems that Nursing professionals have to deal with in their daily practice. Nowadays, the education on PrUs is mainly based on traditional lecturing, seminars and face-to-face instruction, sometimes with the support of photographs of wounds being us... | A web-based e-learning application for wound diagnosis and treatment |
S0169260714002405 | Introduction Paroxysmal versus persistent atrial fibrillation (AF) can be distinguished based on differences in the spectral parameters of fractionated atrial electrograms. Maximization of these differences would improve characterization of the arrhythmogenic substrate. A novel spectral estimator (NSE) has been shown p... | Optimization of novel spectral estimator for fractionated electrogram analysis is helpful to discern atrial fibrillation type |
S0169260714002417 | Proteins control all biological functions in living species. Protein structure is comprised of four major classes including all-α class, all-β class, α+β, and α/β. Each class performs different function according to their nature. Owing to the large exploration of protein sequences in the databanks, the identification o... | Discriminating protein structure classes by incorporating Pseudo Average Chemical Shift to Chou's general PseAAC and Support Vector Machine |
S0169260714002429 | Objectives To compare the risk of infection for rheumatoid arthritis (RA) patients who took etanercept or adalimumab medication in a nationwide population. Methods RA patients who took etanercept or adalimumab were identified in the Taiwan's National Health Insurance Research Database. The composite outcome of serious ... | Infection risk in patients with rheumatoid arthritis treated with etanercept or adalimumab |
S0169260714002442 | The purpose of this study was the development of a clustering methodology to deal with arterial pressure waveform (APW) parameters to be used in the cardiovascular risk assessment. One hundred sixteen subjects were monitored and divided into two groups. The first one (23 hypertensive subjects) was analyzed using APW an... | Cardiovascular risk analysis by means of pulse morphology and clustering methodologies |
S0169260714002454 | Positron emission tomography (PET) with 18fluorodeoxyglucose (18F-FDG) is increasingly used in neurology. The measurement of cerebral arterial inflow (QA) using 18F-FDG complements the information provided by standard brain PET imaging. Here, injections were performed after the beginning of dynamic acquisitions and the... | Cerebral arterial inflow assessment with 18F-FDG PET: Methodology and feasibility |
S0169260714002478 | This paper demonstrates the utility of a differencing technique to transform surface EMG signals measured during both static and dynamic contractions such that they become more stationary. The technique was evaluated by three stationarity tests consisting of the variation of two statistical properties, i.e., mean and s... | Feature extraction of the first difference of EMG time series for EMG pattern recognition |
S0169260714002491 | Multiple statistics show that heart diseases are one of the main causes of mortality in our highly developed societies today. These diseases lead to a change of the physiology of the heart, which gives useful information about characteristic and severity of the defect. A fast and reliable diagnosis is the base for succ... | Automatic classification of left ventricular wall segments in small animal ultrasound imaging |
S0169260714002521 | Semen analysis is the first step in the evaluation of an infertile couple. Within this process, an accurate and objective morphological analysis becomes more critical as it is based on the correct detection and segmentation of human sperm components. In this paper, we present an improved two-stage framework for detecti... | Gold-standard and improved framework for sperm head segmentation |
S0169260714002533 | Background The report from the Institute of Medicine, To Err Is Human: Building a Safer Health System in 1999 drew a special attention towards preventable medical errors and patient safety. The American Reinvestment and Recovery Act of 2009 and federal criteria of ‘Meaningful use’ stage 1 mandated e-prescribing to be u... | A smart medication recommendation model for the electronic prescription |
S0169260714002545 | Background and objective The degeneration of the balance control system in the elderly and in many pathologies requires measuring the equilibrium conditions very often. In clinical practice, equilibrium control is commonly evaluated by using a force platform (stabilometric platform) in a clinical environment. In this p... | A low-cost real time virtual system for postural stability assessment at home |
S0169260714002557 | The domain of cancer treatment is a promising field for the implementation and evaluation of a protocol-based clinical decision support system, because of the algorithmic nature of treatment recommendations. However, many factors can limit such systems’ potential to support the decision of clinicians: technical challen... | Implementation and evaluation of an Asbru-based decision support system for adjuvant treatment in breast cancer |
S0169260714002569 | Patients who suffer from chronic renal failure (CRF) tend to suffer from an associated anemia as well. Therefore, it is essential to know the hemoglobin (Hb) levels in these patients. The aim of this paper is to predict the hemoglobin (Hb) value using a database of European hemodialysis patients provided by Fresenius M... | Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques |
S0169260714002909 | Background The use of open source software in health informatics is increasingly advocated by authors in the literature. Although there is no clear evidence of the superiority of the current open source applications in the healthcare field, the number of available open source applications online is growing and they are... | Open source EMR software: Profiling, insights and hands-on analysis |
S0169260714002910 | We develop an autonomous system to detect and evaluate physical therapy exercises using wearable motion sensors. We propose the multi-template multi-match dynamic time warping (MTMM-DTW) algorithm as a natural extension of DTW to detect multiple occurrences of more than one exercise type in the recording of a physical ... | Automated evaluation of physical therapy exercises using multi-template dynamic time warping on wearable sensor signals |
S0169260714002922 | Insulin pharmacokinetics is not well understood during continuous subcutaneous insulin infusion in type 2 diabetes (T2D). We analyzed data collected in 11 subjects with T2D [6 male, 9 white European and two of Indian ethnicity; age 59.7(12.1) years, BMI 30.1(3.9)kg/m2, fasting C-peptide 1002.2(365.8)pmol/l, fasting pla... | Pharmacokinetics of insulin lispro in type 2 diabetes during closed-loop insulin delivery |
S0169260714002934 | We propose a fast seed detection for automatic tracking of coronary arteries in coronary computed tomographic angiography (CCTA). To detect vessel regions, Hessian-based filtering is combined with a new local geometric feature that is based on the similarity of the consecutive cross-sections perpendicular to the vessel... | A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA |
S0169260714002946 | In this study, we developed an integrated hospital-associated urinary tract infection (HAUTI) surveillance information system (called iHAUTISIS) based on existing electronic medical records (EMR) systems for improving the work efficiency of infection control professionals (ICPs) in a 730-bed, tertiary-care teaching hos... | Improving the work efficiency of healthcare-associated infection surveillance using electronic medical records |
S0169260714002995 | The cure fraction models have been widely used to analyze survival data in which a proportion of the individuals is not susceptible to the event of interest. In this article, we introduce a bivariate model for survival data with a cure fraction based on the three-parameter generalized Lindley distribution. The joint di... | Bayesian bivariate generalized Lindley model for survival data with a cure fraction |
S0169260714003009 | This study was performed to evaluate the influences of the myocardial bridges on the plaque initializations and progression in the coronary arteries. The wall structure is changed due to the plaque presence, which could be the reason for multiple heart malfunctions. Using simplified parametric finite element model (FE ... | Prediction of coronary plaque location on arteries having myocardial bridge, using finite element models |
S0169260714003010 | Analyzing the acceleration photoplethysmogram (APG) is becoming increasingly important for diagnosis. However, processing an APG signal is challenging, especially if the goal is to detect its small components (c, d, and e waves). Accurate detection of c, d, and e waves is an important first step for any clinical analys... | Detection of c, d, and e waves in the acceleration photoplethysmogram |
S0169260714003034 | Studies on health domain have shown that health websites provide imperfect information and give recommendations which are not up to date with the recent literature even when their last modified dates are quite recent. In this paper, we propose a framework which assesses the timeliness of the content of health websites ... | Automatic information timeliness assessment of diabetes web sites by evidence based medicine |
S0169260714003058 | This study developed a computerised method for fovea centre detection in fundus images. In the method, the centre of the optic disc was localised first by the template matching method, the disc–fovea axis (a line connecting the optic disc centre and the fovea) was then determined by searching the vessel-free region, an... | Automated detection of fovea in fundus images based on vessel-free zone and adaptive Gaussian template |
S0169260714003186 | The main goal of this study was to numerically quantify risk of duodenal stump blowout after Billroth II (BII) gastric resection. Our hypothesis was that the geometry of the reconstructed tract after BII resection is one of the key factors that can lead to duodenal dehiscence. We used computational fluid dynamics (CFD)... | Numerical and experimental analysis of factors leading to suture dehiscence after Billroth II gastric resection |
S0169260714003198 | This research focuses on scheduling patients in emergency department laboratories according to the priority of patients’ treatments, determined by the triage factor. The objective is to minimize the total waiting time of patients in the emergency department laboratories with emphasis on patients with severe conditions.... | Scheduling prioritized patients in emergency department laboratories |
S0169260714003204 | Background and objective Parkinson's disease (PD) is the second most common neurodegenerative disease affecting significant portion of elderly population. One of the most frequent hallmarks and usually also the first manifestation of PD is deterioration of handwriting characterized by micrographia and changes in kinema... | Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease |
S0169260714003216 | Background Overall survival (OS) and progression free survival (PFS) are key outcome measures for head and neck cancer as they reflect treatment efficacy, and have implications for patients and health services. The UK has recently developed a series of national cancer audits which aim to estimate survival and recurrenc... | Automated estimation of disease recurrence in head and neck cancer using routine healthcare data |
S0169260714003228 | In conjunction with the advance in computer technology, virtual screening of small molecules has been started to use in drug discovery. Since there are thousands of compounds in early-phase of drug discovery, a fast classification method, which can distinguish between active and inactive molecules, can be used for scre... | Drug/nondrug classification using Support Vector Machines with various feature selection strategies |
S0169260714003241 | Current electrocardiogram (ECG) signal quality assessment studies have aimed to provide a two-level classification: clean or noisy. However, clinical usage demands more specific noise level classification for varying applications. This work outlines a five-level ECG signal quality classification algorithm. A total of 1... | A machine learning approach to multi-level ECG signal quality classification |
S0169260714003253 | Vascularity evaluation on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has a potential diagnostic value, but it represents a time consuming procedure, affected by intra- and inter-observer variability. This study tests the application of a recently published method to reproducibly quantify brea... | A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker |
S0169260714003435 | Cell counting is one of the basic needs of most biological experiments. Numerous methods and systems have been studied to improve the reliability of counting. However, at present, manual cell counting performed with a hemocytometer still represents the gold standard, despite several problems limiting reproducibility an... | Improving reliability of live/dead cell counting through automated image mosaicing |
S0169260714003447 | Since falls are a major public health problem in an aging society, there is considerable demand for low-cost fall detection systems. One of the main reasons for non-acceptance of the currently available solutions by seniors is that the fall detectors using only inertial sensors generate too much false alarms. This mean... | Human fall detection on embedded platform using depth maps and wireless accelerometer |
S0169260714003459 | Telecare medicine information systems provide a communicating platform for accessing remote medical resources through public networks, and help health care workers and medical personnel to rapidly making correct clinical decisions and treatments. An authentication scheme for data exchange in telecare medicine informati... | Verifier-based three-party authentication schemes using extended chaotic maps for data exchange in telecare medicine information systems |
S0169260714003472 | Many children with motor impairments cannot participate in games and jokes that contribute to their formation. Currently, commercial computer games there are few options of software and sufficiently flexible access devices to meet the needs of this group of children. In this study, a peripheral access device and a 3D c... | The design and evaluation of a peripheral device for use with a computer game intended for children with motor disabilities |
S0169260714003484 | In PET/CT thoracic imaging, respiratory motion reduces image quality. A solution consists in performing respiratory gated PET acquisitions. The aim of this study was to generate clinically realistic Monte-Carlo respiratory PET data, obtained using the 4D-NCAT numerical phantom and the GATE simulation tool, to assess th... | Monte-Carlo simulations of clinically realistic respiratory gated 18F-FDG PET: Application to lesion detectability and volume measurements |
S0169260714003496 | Virtual colon flattening (VF) is a minimally invasive viewing mode used to detect colorectal polyps on the colonic inner surface in virtual colonoscopy. Compared with conventional colonoscopy, inspecting a flattened colonic inner surface is faster and results in fewer uninspected regions. Unfortunately, the deformation... | Virtual colon flattening method based on colonic outer surface |
S0169260714003502 | Background Developing countries are confronting a steady growth in the prevalence of the infectious diseases. Mobile technologies are widely available and can play an important role in health care at the regional, community, and individual levels. Although labs usually able to accomplish the requested blood test and pr... | LabPush: A pilot study of providing remote clinics with laboratory results via short message service (SMS) in Swaziland, Africa – A qualitative study |
S0169260714003514 | This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating the anti-obesity property of a potent medicinal plant in a clinical dietary intervention. Even though a number of mathematical functions such as SPSS analysis have been proposed for modeling the anti-obesity properties est... | Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant |
S0169260714003526 | Mechanical stimuli play a significant role in the process of long bone development as evidenced by clinical observations and in vivo studies. Up to now approaches to understand stimuli characteristics have been limited to the first stages of epiphyseal development. Furthermore, growth plate mechanical behavior has not ... | Growth plate stress distribution implications during bone development: A simple framework computational approach |
S0169260714003538 | Non-invasive treatment of neurodegenerative diseases is particularly challenging in Western countries, where the population age is increasing. In this work, magnetic propagation in human head is modelled by Finite-Difference Time-Domain (FDTD) method, taking into account specific characteristics of Transcranial Magneti... | FDTD-based Transcranial Magnetic Stimulation model applied to specific neurodegenerative disorders |
S0169260714003708 | The purpose of this study was to develop automatic classifiers to simplify the clinical use and increase the accuracy of the forced oscillation technique (FOT) in the categorisation of airway obstruction level in patients with chronic obstructive pulmonary disease (COPD). The data consisted of FOT parameters obtained f... | Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease |
S0169260714003836 | Neuropsychological assessment tests have an important role in early detection of dementia. Therefore, we designed and implemented a test battery for mobile devices that can be used for mobile cognitive screening (MCS). This battery consists of 33 questions from 14 type of tests for the assessment of 8 different cogniti... | A mobile application for cognitive screening of dementia |
S0169260714003848 | Background and objectives Document annotation is a key task in the development of Text Mining methods and applications. High quality annotated corpora are invaluable, but their preparation requires a considerable amount of resources and time. Although the existing annotation tools offer good user interaction interfaces... | Marky: A tool supporting annotation consistency in multi-user and iterative document annotation projects |
S0169260714003861 | The Monte Carlo method for photon transport is often used to predict the volumetric heating that an optical source will induce inside a tissue or material. This method relies on constant (with respect to temperature) optical properties, specifically the coefficients of scattering and absorption. In reality, optical coe... | Monte Carlo method for photon heating using temperature-dependent optical properties |
S0169260714003873 | Registration of pre-clinical images to physical space is indispensable for computer-assisted endoscopic interventions in operating rooms. Electromagnetically navigated endoscopic interventions are increasingly performed at current diagnoses and treatments. Such interventions use an electromagnetic tracker with a miniat... | Adaptive marker-free registration using a multiple point strategy for real-time and robust endoscope electromagnetic navigation |
S0169260714003885 | We present a new SAS macro %pshreg that can be used to fit a proportional subdistribution hazards model for survival data subject to competing risks. Our macro first modifies the input data set appropriately and then applies SAS's standard Cox regression procedure, PROC PHREG, using weights and counting-process style o... | PSHREG: A SAS macro for proportional and nonproportional subdistribution hazards regression |
S0169260714003897 | Metabolic Engineering (ME) aims to design microbial cell factories towards the production of valuable compounds. In this endeavor, one important task relates to the search for the most suitable heterologous pathway(s) to add to the selected host. Different algorithms have been developed in the past towards this goal, f... | Development and application of efficient pathway enumeration algorithms for metabolic engineering applications |
S0169260714003903 | The interest in image dermoscopy has been significantly increased recently and skin lesion images are nowadays routinely acquired for a number of skin disorders. An important finding in the assessment of a skin lesion severity is the existence of dark dots and globules, which are hard to locate and count using existing... | Enhancing classification accuracy utilizing globules and dots features in digital dermoscopy |
S0169260714003915 | In this paper, the problem of predicting blood glucose concentrations (BG) for the treatment of patients with type 1 diabetes, is addressed. Predicting BG is of very high importance as most treatments, which consist in exogenous insulin injections, rely on the availability of BG predictions. Many models that can be use... | A therapy parameter-based model for predicting blood glucose concentrations in patients with type 1 diabetes |
S0169260714003927 | Volume is one of the most important features for the characterization of a tumour on a macroscopic scale. It is often used to assess the effectiveness of care treatments, thus making its correct evaluation a crucial issue for patient care. Similarly, volume is a key feature on a microscopic scale. Multicellular cancer ... | Cancer multicellular spheroids: Volume assessment from a single 2D projection |
S0169260714003939 | The prediction of the number of clusters in a dataset, in particular microarrays, is a fundamental task in biological data analysis, usually performed via validation measures. Unfortunately, it has received very little attention and in fact there is a growing need for software tools/libraries dedicated to it. Here we p... | ValWorkBench: An open source Java library for cluster validation, with applications to microarray data analysis |
S0169260715000024 | Background and objective Biofilms are receiving increasing attention from the biomedical community. Biofilm-like growth within human body is considered one of the key microbial strategies to augment resistance and persistence during infectious processes. The Biofilms Experiment Workbench is a novel software workbench f... | Enabling systematic, harmonised and large-scale biofilms data computation: The Biofilms Experiment Workbench |
S0169260715000036 | The importance of evaluating complications and toxicity during and following treatment has been stressed in many publications. In most studies, these endpoints are presented descriptively and summarized by numbers and percentages but descriptive methods are rarely sufficient to evaluate treatment-related complications.... | Assessment of health status over time by Prevalence and Weighted Prevalence functions: Interface in R |
S0169260715000048 | Background There is a growing demand for women to be classified into different risk groups of developing breast cancer (BC). The focus of the reported work is on the development of an integrated risk prediction model using a two-level fuzzy cognitive map (FCM) model. The proposed model combines the results of the initi... | An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps |
S0169260715000206 | The aim of this study is to design a robust feature extraction method for the classification of multiclass EEG signals to determine valuable features from original epileptic EEG data and to discover an efficient classifier for the features. An optimum allocation based principal component analysis method named as OA_PCA... | Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification |
S0169260715000218 | Background and objectives Post-genomic clinical trials require the participation of multiple institutions, and collecting data from several hospitals, laboratories and research facilities. This paper presents a standard-based solution to provide a uniform access endpoint to patient data involved in current clinical res... | Enabling semantic interoperability in multi-centric clinical trials on breast cancer |
S0169260715000231 | Background Chronic hypoxemia has deleterious effects on psychomotor function that can affect daily life. There are no clear results regarding short term therapy with low concentrations of O2 in hypoxemic patients. We seek to demonstrate, by measuring the characteristics of drawing, these effects on psychomotor function... | Short term oxygen therapy effects in hypoxemic patients measured by drawing analysis |
S0169260715000243 | Mathematical models that predict the complex dynamic behaviour of cellular networks are fundamental in systems biology, and provide an important basis for biomedical and biotechnological applications. However, obtaining reliable predictions from large-scale dynamic models is commonly a challenging task due to lack of i... | A consensus approach for estimating the predictive accuracy of dynamic models in biology |
S0169260715000255 | The goal of our study is to develop a fast parallel implementation of group independent component analysis (ICA) for functional magnetic resonance imaging (fMRI) data using graphics processing units (GPU). Though ICA has become a standard method to identify brain functional connectivity of the fMRI data, it is computat... | GPU-based parallel group ICA for functional magnetic resonance data |
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