Relationship prediction between clinical subtypes and prognosis of critically ill patients with cirrhosis based on unsupervised learning methods: A study from two critical care databases.

Journal: International journal of medical informatics
Published Date:

Abstract

BACKGROUND: Our objective was to identify distinct clinical subtypes among critically ill patients with cirrhosis and analyze the clinical features and prognosis of each subtype.

Authors

  • Shu Zhang
    State University of New York, Department of Radiology, Stony Brook, New York, United States.
  • Jie Li
    Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence Application Technology Research Institute, Shenzhen Polytechnic University, Shenzhen, China.
  • Ying Chen
    Department of Endocrinology and Metabolism, Fudan Institute of Metabolic Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Shan Xu
    Department of Intensive Care Unit, First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.