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

Xiangliang LiuYuguang LiWei JiKaiwen ZhengJin LuYixin ZhaoWenxin ZhangMingyang LiuJiuwei CuiWei Li

Published in: Cancer management and research (2022)

We demonstrated that neural network learning is the best clinical prediction model using ML. The model can work as a prediction for the PG-SGA classification of patients with cancer and can be promoted further in the clinic.

Keyphrases

machine learning
neural network
end stage renal disease
ejection fraction
deep learning
primary care
peritoneal dialysis
prognostic factors
artificial intelligence
patient reported outcomes