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A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data

Liangyu Yin, Chunhua Song, Jiuwei Cui, Xin Lin, Na Li, Yang Fan, Ling Zhang, Jie Liu, Feifei Chong, Chang Wang, Tingting Liang, Xiangliang Liu, Li Deng, Wei Li, Mei Yang, Jiami Yu, Xiaojie Wang, Xing Liu, Shoumei Yang, Zheng Zuo, Kaitao Yuan, Miao Yu, Minghua Cong, Zengning Li, Pingping Jia, Suyi Li, Zengqing Guo, Hanping Shi, Hongxia Xu

2021Clinical Nutrition49 citationsDOI

Topics & Concepts

MalnutritionMedicineObservational studyWastingPopulationLogistic regressionCluster analysisMultinomial logistic regressionMachine learningCluster (spacecraft)Artificial intelligenceData miningInternal medicineEnvironmental healthComputer scienceProgramming languageNutrition and Health in AgingInflammatory Biomarkers in Disease PrognosisNutritional Studies and Diet
A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data | Litcius