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SEO playbook — EHR Risk Framework

Canonical docs site: https://ehr.larucare.com/
Live demo (workbench): https://ehr-risk-framework.larucare.com/
(Free demo server — may be slow; try with small data. Run locally or on your own server for larger workloads.)
Live API: https://ehr-api.larucare.com/
GitHub: https://github.com/ranasl62/ehr-chronic-disease-risk-prediction

Catchphrase (use as tagline / anchor text):
An open-source framework for leakage-safe, calibrated, and explainable EHR risk prediction.

For research and education only. Outputs are not clinical recommendations and are not intended for patient care. We are working toward broader general-purpose use in the future. Do not invent clinical performance claims.

Done in-repo (on-page)

  • Keyword-rich titles/descriptions via docs/assets/seo.js (JSON-LD, Open Graph, canonical)
  • robots.txt + sitemap.xml
  • Social card: docs/assets/og-card.png (also use as GitHub repo social preview)
  • Blog + compare + alternatives + listicle pages under docs/
  • README catchphrase, problem statement, alternatives, website + live demo links
  • Docs home CTA → live demo at ehr-risk-framework.larucare.com

GitHub settings (manual)

  1. Website: Repository → About → Website → https://ehr.larucare.com/
  2. Description (suggested):
    Open-source workbench for leakage-safe, calibrated, explainable EHR risk prediction — Docker + FastAPI + Angular. Research/education only.
  3. Topics (add 15–20):
    ehr healthcare-ai clinical-risk-prediction clinical-machine-learning electronic-health-records machine-learning python fastapi angular docker shap calibration leakage-detection temporal-validation health-informatics open-source research-software mimic-iv fairness risk-prediction
  4. Social preview: Settings → Social preview → upload docs/assets/og-card.png
  5. Optional: gh repo edit --homepage "https://ehr.larucare.com/" --add-topic ehr --add-topic healthcare-ai …

Off-page (ongoing)

Channel Action
Awesome lists PR to Awesome Health IT / ML / Open Source lists with catchphrase + site link
DEV.to / Medium Guest posts on leakage in clinical AI; link docs + GitHub
LinkedIn / X Project profile; share blog posts with ehr.larucare.com
Directories Submit to open-source / research-software catalogs
Courses Ask instructors using the workbench to cite and link the site

Keywords to keep natural

  • EHR risk prediction
  • clinical machine learning
  • leakage-safe AI / data leakage clinical AI
  • calibrated risk models / ECE / Brier
  • SHAP explainability
  • health informatics research

Avoid: invented AUCs, “FDA-ready”, “diagnostic”, competitor defamation.