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How it helps — and how to give feedback

Maintainer: Md Rana Hossain
Email: support@larucare.com
LinkedIn: mdranahossain

This page explains who this framework is for, what problem it solves, and how to send feedback so the project stays useful.

Who it helps

You are… You get…
Health-informatics / ML student or researcher A leakage-aware train → audit → explain → serve loop without starting from a blank notebook
Lab building chronic-risk prototypes Task YAML, Docker one-command demo, Angular workbench (Research wizard), downloadable results ZIP / curve PNGs
Engineer integrating EHR-style CSV Clear longitudinal schema, map-preview import, dataset health gates
Reviewer of ML methodology Calibration, leakage audit, SHAP, and explicit LIMITATIONS.md

Not for: unsupervised clinical diagnosis, FDA/device claims, or replacing a hospital EHR.

How it helps (concrete)

  1. Fewer silent temporal bugs — index/horizon truncation + automated leakage audit catch common “future leaked into past” mistakes.
  2. Faster first success — docker compose up → UI on :8080 → demo train → predict in minutes.
  3. Comparable experiments — multi-model compare, named runs, promote-to-active, manifests with data hashes.
  4. Explainable outputs — SHAP + schema-driven predict forms for stakeholder demos (research context).
  5. Honest defaults — tiny-cohort warnings, health blockers, disclaimers; you are not sold a clinical product.

Typical workflow:

Datasets (import + health) → Research wizard or Train / Compare → Analytics & Results → Predict

Details: ARCHITECTURE.md · docs/researcher_quickstart.md · website docs/.

If you use it — please tell us

Feedback makes the framework better for the next user. Useful reports include:

  • What you tried (Docker / CLI / Angular)
  • Dataset type (demo / synthetic / BYO — no PHI in email or GitHub issues)
  • What worked and what blocked you
  • Screenshots of UI issues (redact any real identifiers)
  • Feature requests that fit the niche (leakage, calibration, researcher UX) — see LIMITATIONS.md for what we will not claim

Channels

Channel Use for
Email support@larucare.com Questions, collaboration, install help
GitHub Issues Bugs and public feature requests (templates under .github/ISSUE_TEMPLATE/)
Pull requests Fixes and small docs improvements (CONTRIBUTING.md)

Suggested email subject: [ehr-risk-framework] feedback — <short topic>

Cite the software

If the framework helped your project or thesis, please cite CITATION.cff. That visibility helps others find a leakage-aware baseline.

Thank you

Every report of a confusing error message, a missing map alias, or a clearer docs paragraph improves the toolkit for the community. Contact either email above anytime.