Automatic Cardiopulmonary Endurance Assessment: A Machine Learning Approach Based on GA-XGBOOST.
Jia DengYan FuQi LiuLe ChangHaibo LiShenglin LiuPublished in: Diagnostics (Basel, Switzerland) (2022)
With a relatively small number of training samples, the GA-XGBOOST model fits well with the training set data, which can effectively evaluate the CPE level of subjects, and is expected to provide automatic CPE evaluation for selecting, training, and protecting the working population in plateau areas.