Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan

Frontiers in Medicine

Chieh-Liang Wu¹  Wen-Cheng Chao²  Pin-Hsiu Lin³  Ming-Yen Lin³  Chi-Chun Li³  Jiun-Long Wang⁴  Ming-Cheng Chan⁵ 

[1] Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan;Department of Computer Science, Tunghai University, Taichung, Taiwan;Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan;Department of Computer Science, Tunghai University, Taichung, Taiwan;Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan;Department of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan;Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan;Department of Life Sciences, National Chung-Hsing University, Taichung, Taiwan;Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan;Central Taiwan University of Science and Technology, Taichung, Taiwan;The College of Science, Tunghai University, Taichung, Taiwan;

关键词: explainable AI;    weaning;    prediction mode;    prolonged mechanical ventilation;    machine learning;   

DOI  :  10.3389/fmed.2021.663739

来源: Frontiers

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