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Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Predicting Prolonged Length of Hospital Stay for Peritoneal Dialysis–Treated Patients Using Stacked Generalization: Model Development and Validation Study

Yang et al [31] developed a numeric LOS prediction model based on the support vector machine (SVM) algorithm for burn patients at different stages and compared its prediction performance with that of the traditional linear regression model. They found that although the SVM model was more effective than the linear regression model in LOS prediction for burn patients, it yielded a high mean relative error of 43.9%.

Guilan Kong, Jingyi Wu, Hong Chu, Chao Yang, Yu Lin, Ke Lin, Ying Shi, Haibo Wang, Luxia Zhang

JMIR Med Inform 2021;9(5):e17886