Huntington's Disease Enriched Cohort
Year: 2026
Type: article
Abstract: This Zenodo record contains a free, evaluation-grade sample of 10,000 synthetic patient records — a genuine, unmodified subset of the full production dataset, not a separate re-generation. It is provided so that researchers, ML engineers, and clinical data scientists can inspect the schema, phenotypic depth, and biomarker architecture before licensing the complete asset. The full commercial dataset — 5,000,000 synthetic patients, 11-year longitudinal depth (2016–2026), complete multi-ethnic population stratification, and the full pedigree network — is a licensed product and is not included in this record. Full dataset & enterprise licensing: https://sentineldata.com.ua/dataset/huntington-s-disease-cohort-dataset Abstract This dataset is a synthetic, privacy-safe electronic health record (EHR) cohort standardized to the OMOP Common Data Model (CDM) v5.4, built to address a persistent problem in rare-disease machine learning: the near-total absence of large, structurally complete, freely shareable datasets for orphan neurodegenerative conditions. The cohort is enriched around Huntington's Disease (HD), combining longitudinal clinical trajectories, genetic biomarker assertions (CAG repeat length), multi-generational pedigree graphs, and a realistic comorbidity background. No real patient data of any kind is contained in this file — every record is algorithmically ... Full description with all tables is on the Wiki page of this project. Full dataset and purchase: https://sentineldata.com.ua/dataset/huntington-s-disease-cohort-dataset . Zenodo copy: https://doi.org/10.5281/zenodo.22775393
Source: Open Science Framework
Author: Maksym Chekerskyi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225466713