Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants
Objective: To develop and validate a machine learning model incorporating dietary antioxidants to predict cardiovascular disease (CVD)-cancer comorbidity and to elucidate the role of antioxidants in disease prediction. Methods: Data were sourced from the National Health and Nutrition Examination Sur...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Redox Biology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213231724004488 |
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