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gopaljilab/Clinical-Insight-Engine

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Clinical Insight Engine is a full-stack clinical decision support system designed to surface early diabetes risk signals from routine patient data. It combines a Python-based interpretable machine learning model with a modern React frontend, presenting results differently for clinicians and patients.

active 2026-02-28 → 2026-09-22 (UTC)

Complete coverage27,284 / 27,287 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-24 (UTC)
Events
939
Pushes
295
Pull requests
218
Issues
267
Stars
1
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 207 days from 2026-02-28 to 2026-09-22. Pushes: 295 total, peak 29 in a day. Pull requests: 218 total, peak 26 in a day. Issues: 267 total, peak 38 in a day. Comments: 87 total, peak 10 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.