SugarSense utilise des techniques de machine learning appliquées à des ensembles de données volumineux pour estimer le risque de développer le diabète chez un patient. En exploitant des données comme l’historique médical, les informations démographiques et les habitudes de vie, ce projet permet une analyse précise des risques.
active 2024-12-01 → 2024-12-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 6 days from 2024-12-01 to 2024-12-06. Pushes: 7 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
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
No issue or PR events — this repo's activity is pushes only.
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.