AlphonsaJo/Enhancing-Depression-Prediction-through-Data-Driven-Methods-
View on GitHub ↗Related repositories →Depression is a widespread mental health issue requiring precise and timely predictions for effective treatment. This project presents a hybrid model combining SVM and CNNs, evaluating the models with and without SMOTE to address risks in medical datasets.
active 2024-09-07 → 2024-09-14 (UTC)
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Line chart, 8 days from 2024-09-07 to 2024-09-14. Pushes: 5 total, peak 4 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.
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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 |
|---|---|---|---|---|
| AlphonsaJo | 5 | 5 | 0 | 0 |
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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.