language: en
license: cc-by-nc-4.0
tags:
- medical
- oncology
- genomics
- synthetic-data
- ehr
- electronic-health-records
pretty_name: Clinical EHR & Somatic Genomics Dataset (Breast Cancer Cohort)
size_categories:
- 10K<n<100K
task_categories:
- text-generation
- token-classification
🧬 EHR & Somatic Genomics Synthetic Oncology Dataset (AnodeAI)
This dataset contains highly structured, multi-modal synthetic clinical oncology records coupled with Next-Generation Sequencing (NGS) somatic variant profiles and longitudinal electronic health records (EHR).
Unlike standard stochastic mock data, this dataset is engineered via a deterministic clinical logic engine that guarantees 100% biological and pharmacological integrity across all fields.
💡 Key Architectural Highlights
- Zero Hallucinations: Strict internal constraints prevent medical contradictions (e.g., Triple-Negative profiles will never mistakenly receive HER2-targeted therapies).
- Multi-Modal Synchronization: Seamlessly unifies three typically isolated clinical data silos: clinical staging/phenotypes, digital molecular diagnostics (IHC/NGS), and longitudinal real-world evidence (RWE).
- Mathematical Outcome Correlation: Progression-Free Survival (PFS) metrics are statistically correlated with Response Evaluation Criteria in Solid Tumors (RECIST 1.1) values to preserve downstream machine learning utility.
📊 Schema & Clinical Logic Deep Dive
1. Patient Demographics
Contains basic baseline parameters for tracking patient cohorts.
patient_id: Unique tracking identifier prefixed for institutional indexing.age/gender/ethnicity: Demographically balanced variables tailored to replicate true epidemiological distributions in oncology.
2. Clinical Oncology Profile
Establishes the specific breast cancer phenotypic anchor, which strictly drives the rest of the record:
- Hormone Receptor Positive (HR+/HER2-): Characterized by elevated ER/PR percentages and negative HER2 IHC statuses.
- HER2 Positive (HER2+): Configured with amplified HER2 expressions (3+ by IHC) and varying hormone receptor profiles.
- Triple-Negative Breast Cancer (TNBC): Enforces absolute zero/negative values for ER, PR, and HER2 receptors.
3. Genomic Sequencing Data
Simulates a targeted Next-Generation Sequencing (NGS) assay reporting somatic variants matching the patient's biological subtype:
- HR+/HER2- Pool: Features highly relevant driver alterations such as PIK3CA (e.g.,
p.E545K,p.H1047R) and ESR1 (p.D538G). - HER2+ Pool: Maps copy-number variations like ERBB2 amplifications alongside TP53 mutations.
- TNBC Pool: Integrates pathogenic tumor-suppressor variants in BRCA1, BRCA2, and TP53.
variant_allele_frequency_vaf: Synthesized as a continuous float value ($0.05 \le \text{VAF} \le 0.65$) indicating structural clone density.
4. Longitudinal Treatment & RWE
Tracks the active first-line therapeutic journey, mapping outcomes precisely to standard oncology reporting frameworks:
regimen_administered: Pairs standard-of-care protocols seamlessly to biomarkers (e.g., CDK4/6 inhibitors for HR+, anti-HER2 monoclonal antibodies for HER2+, checkpoint inhibitors for TNBC).adverse_events_ctcae_v5: Captures severe toxicities (Grades 2-4) linked explicitly to the administered drug toxicological profile, including exact clinical intervention steps (action_taken).treatment_response_recist_1_1: Classifies patient response into standard categories (CR,PR,SD,PD).progression_free_survival_months: Employs hard-coded survival boundaries to match the clinical response (e.g., restricting progressive disease to rapid relapse ranges while scaling complete responses past 2-5 years).
⚡ COMMERCIAL LICENSING & ENTERPRISE ACCESS
IMPORTANT NOTICE: The dataset version hosted on Hugging Face is published under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. It is strictly limited to academic research, open-source benchmarking, and local sandbox prototyping.
🚀 Looking for Commercial Scale or Custom Disease Cohorts?
If your organization requires high-fidelity synthetic clinical data for commercial production, enterprise AI training pipelines, or software dashboard validation, we offer scalable production engines.
- Production Volumes: Instantly generate from 10,000 to 1,000,000+ perfectly clean, fully validated clinical records.
- Expanded Pathologies: Custom logic modules available for Non-Small Cell Lung Cancer (NSCLC), Colorectal Cancer (CRC), Melanoma, and more.
- Standardized Medical Ontologies: Optional integration of explicit medical coding systems including ICD-10-CM, SNOMED CT, RxNorm, HGVS, and CTCAE numerical codes for direct production pipeline compatibility.
📧 Acquire a Commercial License: To unlock unrestricted commercial usage rights, purchase full enterprise cohorts, or request bespoke oncology schema adaptations, please contact the engineering team directly at anodeai.corp@gmail.com (or via your platform's official contact portal).