.zenodo.json

{
  "title": "EHR Risk Framework — Leakage-Aware, Calibrated, Explainable Open Software",
  "description": "Open research software for leakage-aware longitudinal EHR-like binary risk prediction (chronic-disease and other horizon tasks). Index/horizon feature construction, isotonic calibration (Brier/ECE), SHAP and exploratory fairness jobs, FastAPI + Angular workbench, task YAML, training manifests, and reproducible synthetic verification. Research and education only — not a medical device; not for patient care.",
  "upload_type": "software",
  "license": "mit",
  "creators": [
    {
      "name": "Hossain, Md Rana",
      "affiliation": "Maharishi International University"
    }
  ],
  "keywords": [
    "electronic health records",
    "chronic disease risk prediction",
    "temporal leakage",
    "calibration",
    "explainable AI",
    "fairness",
    "reproducibility",
    "research software",
    "FastAPI",
    "Angular"
  ],
  "access_right": "open",
  "version": "1.0.0",
  "related_identifiers": [
    {
      "relation": "isSupplementTo",
      "identifier": "https://github.com/ranasl62/ehr-chronic-disease-risk-prediction",
      "resource_type": "software"
    }
  ],
  "notes": "Cite via CITATION.cff. Zenodo DOI: https://doi.org/10.5281/zenodo.21448693 (10.5281/zenodo.21448693). ORCID for the creator can be added when available."
}