Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.

Yuan TianRui LiGuanlong WangKai XuHongxia LiLei He

Published in: BMC medical informatics and decision making (2024)

This study demonstrates for the first time that the MGA-XGBoost model with 10 risk factors might predict postoperative infectious complications in elderly CRC patients.

Keyphrases

risk factors
machine learning
end stage renal disease
patients undergoing
chronic kidney disease
ejection fraction
newly diagnosed
prognostic factors
middle aged
patient reported outcomes