Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction.
Journal of biomedical informatics(2023)
摘要
Among the VUMC cohort, both PCEs and ML models were biased against women, suggesting the need to investigate and correct gender disparities in CVD risk prediction. Resampling by proportion reduced the bias for gender groups but not for race groups.
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关键词
Bias mitigation,Cardiovascular diseases,Clinical predictive models,Electronic health records,Fairness,Machine learning
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