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Distributed Learning for Heart Disease Risk Prediction Based on Key Clinical Parameters with Evaluation Metrics Analysis

2025-04-21

Abstract excerpt

<title>Abstract</title> <p>The purpose of this study design and test a Decentralized Federated learning framework that integrates a Mutual Learning approach with a Hierarchical Dirichlet Process-based Federated Learning Decentralized (HDP-FLDec) algorithm to predict heart disease. Conventional machine learning models in health care are data-centralized, which poses major risks to patient privacy and lacks support...

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Literature Corpus work
86ca2fa5-dda2-5db7-91eb-9a890147923e
DOI
10.21203/rs.3.rs-6449815/v1
Open publication

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Distributed Learning for Heart Disease Risk Prediction Based on Key Clinical Parameters with Evaluation Metrics AnalysisDOI 10.21203/rs.3.rs-6449815/v1
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