Article

Generalizing Major Adverse Cardiovascular Events (MACE) Prediction Across Study Designs Using Ensemble Transfer Learning in 4.2 million US Veterans

2026-08-25

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of major adverse cardiovascular events (MACE) from electronic medical records (EMRs) to identify high-risk patients is fundamental for informing patientcare guidelines and policies. Yet, existing prediction models often fail to generalize because different epidemiological study designs capture distinct aspects of disease biology and observational biases. We develop a...

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Literature Corpus work: b11e5150-2569-5eea-973b-2e8ee47813d7
DOI: 10.21203/rs.3.rs-10395960/v1

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Generalizing Major Adverse Cardiovascular Events (MACE) Prediction Across Study Designs Using Ensemble Transfer Learning in 4.2 million US VeteransDOI 10.21203/rs.3.rs-10395960/v1Read

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