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Characterizing and Quantifying Performance Heterogeneity in Cardiovascular Risk Prediction Models — A Step Towards Improved Disease Risk Assessment

2021-10-08

Abstract excerpt

<title>Abstract</title> <p>Prediction models are commonly used to estimate risk for cardiovascular diseases; however, performance may vary substantially across relevant subgroups of the population. Here we investigated the variability of performance and fairness across a variety of subgroups for risk prediction of two common diseases, atherosclerotic cardiovascular disease (ASCVD) and atrial fibrillation (AF). We...

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Literature Corpus work
ea6b5461-f29c-5b41-a965-36bc557f58d6
DOI
10.21203/rs.3.rs-936366/v1
Open publication

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Characterizing and Quantifying Performance Heterogeneity in Cardiovascular Risk Prediction Models — A Step Towards Improved Disease Risk AssessmentDOI 10.21203/rs.3.rs-936366/v1
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