A Predictive Model for Qualitative Evaluation of PG-SGA in Tumor Patients Through Machine Learning

OBJECTIVE: Patient-Generated Subjective Global Assessment (PG-SGA) was a nutritional status assessment technique specifically tailored for patients with oncology. The goal of this study was to develop a machine learning (ML) prediction model for predicting PG-SGA categorization of patients with tumo...

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Detalles Bibliográficos
Autores principales: Liu, Xiangliang, Li, Yuguang, Ji, Wei, Zheng, Kaiwen, Lu, Jin, Zhao, Yixin, Zhang, Wenxin, Liu, Mingyang, Cui, Jiuwei, Li, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013417/
https://www.ncbi.nlm.nih.gov/pubmed/35440874
http://dx.doi.org/10.2147/CMAR.S342658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013417/
https://www.ncbi.nlm.nih.gov/pubmed/35440874
http://dx.doi.org/10.2147/CMAR.S342658

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