Article

Data Heterogeneity in Federated Learning with Electronic Health Records: Case Studies of Risk Prediction for Acute Kidney Injury and Sepsis Diseases in Critical Care

2022-09-01

Abstract excerpt

With the wider availability of healthcare data such as Electronic Health Records (EHR), more and more data-driven based approaches have been proposed to improve the quality of care delivery. Predictive modeling, which aims at building computational models for predicting clinical risk, is a popular research topic in healthcare analytics. However, concerns about privacy of healthcare data may hinder the development...

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Literature Corpus work: ca9754c2-2417-5a06-8c05-ed4c45e88780
DOI: 10.1101/2022.08.30.22279382

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Data Heterogeneity in Federated Learning with Electronic Health Records: Case Studies of Risk Prediction for Acute Kidney Injury and Sepsis Diseases in Critical CareDOI 10.1101/2022.08.30.22279382Read

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