adubrightkwartengsnr/P5-Sepsis-Prediction-Embedding-Machine-Learning-Model-In-API
View on GitHub ↗Related repositories →This project aims to develop and deploy a machine learning model for predicting sepsis. The model will be embedded in an API to facilitate easy integration with various healthcare applications. The project involves data preprocessing, feature engineering, model training, and API development, making it available for real-time sepsis prediction.
active 2024-06-28 → 2024-07-25 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 28 days from 2024-06-28 to 2024-07-25. Pushes: 27 total, peak 6 in a day. Pull requests: 33 total, peak 5 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
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| adubrightkwartengsnr | 60 | 27 | 33 | 0 |
Recent activity
Latest issues, pull requests and releases
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.