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Classification Tree-Based Machine Learning to Visualize and Validate a Decision Tool for Identifying Malnutrition in Cancer Patients.
Yin L, Lin X, Liu J, Li N, He X, Zhang M, Guo J, Yang J, Deng L, Wang Y, Liang T, Wang C, Jiang H, Fu Z, Li S, Wang K, Guo Z, Ba Y, Li W, Song C, Cui J, Shi H, Xu H; Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group. Yin L, et al. JPEN J Parenter Enteral Nutr. 2021 Nov;45(8):1736-1748. doi: 10.1002/jpen.2070. Epub 2021 Mar 15. JPEN J Parenter Enteral Nutr. 2021. PMID: 33415743
A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.
Yin L, Song C, Cui J, Lin X, Li N, Fan Y, Zhang L, Liu J, Chong F, Wang C, Liang T, Liu X, Deng L, Li W, Yang M, Yu J, Wang X, Liu X, Yang S, Zuo Z, Yuan K, Yu M, Cong M, Li Z, Jia P, Li S, Guo Z, Shi H, Xu H; Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group. Yin L, et al. Clin Nutr. 2021 Aug;40(8):4958-4970. doi: 10.1016/j.clnu.2021.06.028. Epub 2021 Jul 3. Clin Nutr. 2021. PMID: 34358843
328 results