2024peer-reviewed160 citations
Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants
Xiangjun Qi, Shujing Wang, Caishan Fang, Jie Jia, Lizhu Lin, Tianhui Yuan
Redox Biology
Abstract
LightGBM exhibited the best performance for predicting CVD-cancer comorbidity. SHAP values highlighted the importance of antioxidants, with naringenin and magnesium emerging as primary factors in this model.
Concepts
ComorbidityDiseaseCancerMedicineInterpretation (philosophy)GerontologyValue (mathematics)Internal medicine