The potential of machine learning models to identify malnutrition diagnosed by GLIM combined with NRS-2002 in colorectal cancer patients without weight loss information

CONCLUSIONS: Nutrition Risk Screening 2002 was the optimal initial nutritional risk screening tool in the GLIM process. The RF model outperformed other models, and an online prediction tool was developed to properly identify patients at high risk of malnutrition.PMID:38603972 | DOI:10.1016/j.clnu.2024.04.001

Source: Clinical Colorectal Cancer - April 11, 2024 Category: Cancer & Oncology Authors: Tiantian Wu Hongxia Xu Wei Li Fuxiang Zhou Zengqing Guo Kunhua Wang Min Weng Chunling Zhou Ming Liu Yuan Lin Suyi Li Ying He Qinghua Yao Hanping Shi Chunhua Song Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) Group Source Type: research