A machine learning approach for predicting urine output after fluid administration.

Journal: Computer methods and programs in biomedicine
PMID:

Abstract

BACKGROUND AND OBJECTIVE: To develop a machine learning model to predict urine output (UO) in sepsis patients after fluid resuscitation.

Authors

  • Pei-Chen Lin
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; Emergency Department, Taoyuan General Hospital, Ministry of Health and Welfare, Taoyuan, Taiwan.
  • Hsu-Cheng Huang
    Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Radiology, Taipei City Hospital, Yangming Branch, Taipei, Taiwan.
  • Matthieu Komorowski
    Imperial College London, London, UK.
  • Wei-Kai Lin
    Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Chun-Min Chang
    Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Kuan-Ta Chen
    Institute of Information Science, Academia Sinica, Taipei, Taiwan.
  • Yu-Chuan Li
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology, Taipei Medical University, Taipei, Taiwan; Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan; TMU Research Center of Cancer Translational Medicine, Taipei, Taiwan.
  • Ming-Chin Lin
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; Division of Neurosurgery, Department of Surgery, Shuang-Ho Hospital, Taipei, Taiwan; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.