Development and validation of a dynamic early warning system with time-varying machine learning models for predicting hemodynamic instability in critical care: a multicohort study.

Journal: Critical care (London, England)
Published Date:

Abstract

No abstract available for this article.

Authors

  • Dung-Hung Chiang
    Department of Critical Care Medicine, Taipei Veteran General Hospital, No. 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan.
  • Zeyu Jiang
    State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
  • Cong Tian
    School of Computer Science and Technology, Xidian University, No. 2 South Taibai Road, Xi'an, 710071, PR China. Electronic address: ctian@mail.xidian.edu.cn.
  • Chien-Ying Wang
    Department of Critical Care Medicine, Taipei Veteran General Hospital, No. 201, Section 2, Shih-Pai Road, Taipei, 11217, Taiwan. wangcy@vghtpe.gov.tw.

Keywords

No keywords available for this article.