Machine learning approaches for predicting acute respiratory failure, ventilator dependence, and mortality in chronic obstructive pulmonary disease

HIGHLIGHTS

• who: Kuang-Ming Liao and collaborators from the Department of Information Systems, Chi Mei Medical Center, Tainan, Taiwan have published the paper: Machine Learning Approaches for Predicting Acute Respiratory Failure, Ventilator Dependence, and Mortality in Chronic Obstructive Pulmonary Disease, in the Journal: Diagnostics 2021, 2396 of 31/Dec/2019
• what: DuringAlgorithm the model training process, importanceSpecificity graph with criteria of inforAccuracy the feature Sensitivity AUC mation gain was utilized in Python to judge the importance of each feature to the model. The models established in this study had an accuracy of more than 80%.
 



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