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Article

Hierarchical Personalized Continual Federated Learning for Real Time Risk Prediction of Chronic Diseases

2025-10-08

Abstract excerpt

<title>Abstract</title> <p>The most prevalent global morbidity and mortality is chronic illnesses like cardiovascular diseases, diabetes, and respiratory diseases which require the proper prediction of risks and in a timely manner so as to have preventative measures. Nevertheless, predictive systems in real-time have been found to be severely limited by fragmented healthcare data, patient population heterogeneity...

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Literature Corpus work
d38c180e-fdf7-5f93-a02e-d36e63fac1f0
DOI
10.21203/rs.3.rs-7627809/v1
Open publication

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Hierarchical Personalized Continual Federated Learning for Real Time Risk Prediction of Chronic DiseasesDOI 10.21203/rs.3.rs-7627809/v1
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