rishishanthan/Hospital-Length-of-Stay-Prediction
Deep learning pipeline for predicting COVID-19 hospital length of stay using MLP, LSTM, Self-Attention, and Word2Vec — built with PyTorch on Canadian inpatient data (508 patients, 58 clinical features). Attention model achieves best R²=0.52.
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Language
Python
License
MIT
Last pushed
Apr 05, 2026
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