Nayansai/Fraud-Detection-In-Medical-Insurance-Claim-System-Using-Machine-Learning
View on GitHub ↗Related repositories →This study explores fraud detection in medical insurance claims using Support Vector Machines (SVM) optimized with GridSearchCV. By preprocessing data and applying feature selection, the optimized model enhances the detection of fraudulent claims, offering a reliable approach to improve claim processing efficiency.
active 2024-12-13 → 2025-02-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 76 days from 2024-12-13 to 2025-02-26. Pushes: 18 total, peak 12 in a day. Pull requests: 4 total, peak 4 in a day. Issues: 4 total, peak 4 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 in a day.
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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 |
|---|---|---|---|---|
| Nayansai | 26 | 18 | 4 | 0 |
Recent activity
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.