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Pratikshya32/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 2026-05-242026-07-07 (UTC)

Partial coverage11,749 / 13,024 hourly files (90%) · 2 absent upstream · 1,271 failed, retryable2025-02-142026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
74
Pushes
25
Pull requests
3
Issues
13
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 45 days from 2026-05-24 to 2026-07-07. Pushes: 25 total, peak 8 in a day. Pull requests: 3 total, peak 3 in a day. Issues: 13 total, peak 11 in a day. Comments: 1 total, peak 1 in a day. Stars: 0 total, peak 0 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

ContributorContributionsPushesPRsComments
Pratikshya32332100
gopaljilab4400
github-actions[bot]4030
saurabhhhcodes1001

Recent activity

Latest issues, pull requests and releases

  • Issue#3github-actions[bot]2026-07-07 05:33
    docs: Create developer handbook for configuring Vitest testing environment
  • Issue comment#13saurabhhhcodes2026-06-04 03:42
    docs: Document session cookie security configuration policies
  • Pull request#21github-actions[bot]2026-06-01 06:23
  • Pull request#21github-actions[bot]2026-06-01 06:23
  • Pull request#21github-actions[bot]2026-06-01 06:23
  • Issue#19Pratikshya322026-05-31 03:48
    docs: Add detailed error boundary fallback state logging docstrings
  • Issue#19Pratikshya322026-05-31 03:48
    docs: Add detailed error boundary fallback state logging docstrings
  • Issue#19Pratikshya322026-05-31 03:48
    docs: Add detailed error boundary fallback state logging docstrings
  • Issue#17Pratikshya322026-05-31 03:48
    docs: Document client-side Helmet HTTP security headers policy
  • Issue#14Pratikshya322026-05-31 03:47
    docs: Add patient records data masking and redaction policies
  • Issue#14Pratikshya322026-05-31 03:47
    docs: Add patient records data masking and redaction policies
  • Issue#14Pratikshya322026-05-31 03:47
    docs: Add patient records data masking and redaction policies
  • Issue#14Pratikshya322026-05-31 03:47
    docs: Add patient records data masking and redaction policies
  • Issue#13Pratikshya322026-05-31 03:47
    docs: Document session cookie security configuration policies
  • Issue#13Pratikshya322026-05-31 03:47
    docs: Document session cookie security configuration policies
  • Issue#13Pratikshya322026-05-31 03:47
    docs: Document session cookie security configuration policies
  • Issue#8Pratikshya322026-05-30 18:19
    docs: Document API endpoints specifications for diabetes risk prediction

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.