sentence-transformers How to use MaxNoichl/discipline-bert-modern-large_v02 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("MaxNoichl/discipline-bert-modern-large_v02")
sentences = [
"Pleural effusion is a frequently observed lesion in the course of respiratory diseases such as inflammatory process and cancer metastasis. Its cause may be either tuberculosis (the most common extrapulmonary location is the pleura) and malignant disease of the pleura. Confirmation of tuberculosis is often troublesome. The primary site of cancer may be als difficult to find despite the application of difficult diagnostic methods. Below we present history of -year old female in whom carcinomatous cells and positive result of PCR for Mycobacterium tuberculosis in pleural fluid were discovered simultaneously suggesting the tuberculosis and cancer of unknown primary origin.",
"Coronaviruses are a large family of viruses that cause illness ranging from mild to severe symptoms. Coronaviruses are known to cause diseases that cause severe symptoms such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). This study aims to determine the factors related to compliance with the use of personal protective equipment by health workers during the COVID- pandemic at Bahteramas Hospital, Southeast Sulawesi province in . This study used a case control design. The population in this study were health workers at Bahtermas Hospital totaling health workers. The sample in this study amounted to respondents consisting of groups of health workers. Sampling using the Lemeshow formula. The results showed that based on the results of the chis square test, the P-value of the knowledge variable was , the Attitude variable, a P-Value of was obtained and the PPE availability variable was a P-Value of . From the research samples used, it can be concluded that the Knowledge, Attitude and availability of PPE are related to compliance with the use of PPE by health workes during the COVID- pandemic at Bahteramas Hospital, Southeast Sulawesi Province.",
"Recent developments in treatment have steadily raised the median predicted age of survival for people with Cystic Fibrosis (CF). We report the health-related quality of life (HRQoL) in CF adult patients and correlate our findings with the patients' demographic characteristics.The Cystic Fibrosis Quality of Life (CFQoL) questionnaire was answered by CF adult patients. The questionnaire included questions pertaining to age, sex and level of education and covered eight sections of functioning.The highest score was reported in the \"Social Functioning\" section, while the lowest in the \"Concerns for the Future\" section. When different age groups were compared, statistical significances were reported in \"Physical Functioning\", \"Interpersonal Relationships\", and the \"Career Concerns\" section, with older patients reporting statistically higher HRQoL scores than younger ones (p < ). No statistically significant difference was reported amongst the scoring between male and female CF patients. When different educational levels were compared, patients that had received a higher educational training scored statistically higher in all but one sections of the questionnaire when compared with patients of a lower educational level (p < ).More than half Greek adult CF patients report that they are capable to participate in social activities but most of them are worried about the outcome of their disease and its effect on their lives.",
"BACKGROUND: The global amount of investment in companies developing artificial intelligence (AI)-based software technologies for medical diagnostics reached million in , rose to million in , and is expected to continue growing. While software manufacturing companies should comply with existing clinical, bioethical, legal, and methodological frameworks and standards, there is a lack of uniform national and international standards and protocols for testing and monitoring AI-based software. AIM: This objective of this study is to develop a universal methodology for testing and monitoring AI-based software for medical diagnostics, with the aim of improving its quality and implementing its integration into practical healthcare. MATERIALS AND METHODS: The research process involved an analytical phase in which a literature review was conducted on the PubMed and eLibrary databases. The practical stage included the approbation of the developed methodology within the framework of an experiment focused on the use of innovative technologies in the field of computer vision to analyze medical images and further application in the health care system of the city of Moscow. RESULTS: A methodology for testing and monitoring AI-based software for medical diagnostics has been developed, aimed at improving its quality and introducing it into practical healthcare. The methodology consists of seven stages: self-testing, functional testing, calibration testing, technological monitoring, clinical monitoring, feedback, and refinement. CONCLUSION: Distinctive features of the methodology include its cyclical stages of monitoring and software development, leading to continuous improvement of its quality, the presence of detailed requirements for the results of the software work, and the participation of doctors in software evaluation. The methodology will allow software developers to achieve significant outcomes and demonstrate achievements across various areas. It also empowers users to make informed and confident choices among software options that have passed an independent and comprehensive quality check."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
