Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27098, first published .
Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study

Yi-Shiuan Liu   1, 2, 3, 4 , PhD ;   Chih-Yu Yang   1, 2, 5, 6 * , MD, PhD ;   Ping-Fang Chiu   7 , MD ;   Hui-Chu Lin   2 , MS ;   Chung-Chuan Lo   8 , PhD ;   Alan Szu-Han Lai   2 , BS ;   Chia-Chu Chang   9, 10 , MD, PhD ;   Oscar Kuang-Sheng Lee   1, 2, 11 * , MD, PhD

1 Institute of Clinical Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei, Taiwan

2 Stem Cell Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan

3 Department of Physiology and Pharmacology, Chang Gung University College of Medicine, Taoyuan, Taiwan

4 Department of Plastic and Reconstructive Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan

5 Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

6 Center for Intelligent Drug Systems and Smart Bio-devices, Hsinchu, Taiwan

7 Division of Nephrology, Department of Medicine, Changhua Christian Hospital, Changhua, Taiwan

8 Institute of Systems Neuroscience, National Tsing Hua University, Hsinchu, Taiwan

9 Department of Medicine, Kuang Tien General Hospital, Taichung, Taiwan

10 Department of Nutrition, Hungkuang University, Taichung, Taiwan

11 Department of Orthopedics, China Medical University Hospital, Taichung, Taiwan

*these authors contributed equally

Corresponding Author:

  • Oscar Kuang-Sheng Lee, MD, PhD
  • Institute of Clinical Medicine
  • National Yang Ming Chiao Tung University School of Medicine
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  • Taipei, 11221
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  • Email: oscarlee9203@gmail.com