Early warning system for heat and cold risk. Predicts personalized thermal mortality risk by age, sex, comorbidities and activity, with an ML ensemble (XGBoost + LSTM) calibrated via conformal prediction, km² risk maps, SHAP explainability and a Telegram bot. Built on ERA5 + MoMo data.
Cross-referenced across 55 tracked directories
#52238
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
6/26/2026
Created
5
GitHub Stars
10
Open Issues
9/7/2026
Last Commit
Recently added to the ecosystem
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