Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study - Qian, Gui; Jiaxin, Huang; minghua, Cong; beijia, Liu; Yinfeng, Li; Guiyu, Huang; Mingxue, Yang; Xiaoli, Tang; Hongyan, Yan (BMC cancer, 2025)
Keywords: Accuracy; Adult; Aged; Algorithms; Automation; Biomedical and Life Sciences; Biomedicine; Body Mass Index; Cancer; Cancer Research; Cancer therapies; Care and treatment; Chemotherapy; Data collection; Datasets; Diagnosis; Efficiency; Fat-free body mass; Female; Generalized linear models; Hand Strength; Health Promotion and Disease Prevention; Hospital patients; Hospitals; Humans; Immobilization; Immunotherapy; Laboratories; Learning algorithms; Machine Learning; Male; Malnutrition; Malnutrition - diagnosis; Malnutrition - etiology; Medicine/Public Health; Methods; Middle Aged; Neoplasms - complications; Neoplasms - diagnosis; Nutrition; Nutrition Assessment; Nutritional Assessment; Nutritional status; Oncology; Optimization; Patient-Generated Subjective Global Assessment; Patients; Performance evaluation; Prevention; Product/Service Evaluations; Prognosis; Prospective Studies; Radiation therapy; Regression analysis; Risk factors; Sample size; Surgical Oncology; Tumors; China; Machine Learning; Patient-Generated Subjective Global Assessment; Cancer; Nutritional Assessment