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KalyanM45 / OpenHealth

Sponsor
Star 39

This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.

disease-prediction disease-detection ai-in-healthcare medical-ai ai-for-healthcare diet-recommender mlops-workflow ai-healthcare multi-disease-prediction
  • Updated Dec 12, 2024
  • Jupyter Notebook

rfonod / deepsleep2

Star 12

A compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

machine-learning deep-learning time-series cnn pytorch neural-networks segmentation convolutional-networks physionet multichannel encoder-decoder sleep-analysis u-net medical-ai polysomnography computational-efficiency sleep-apnea sleep-arousals
  • Updated Oct 22, 2024
  • Jupyter Notebook

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