Extreme Gradient Boosting Model Has a Better Performance in Predicting the Risk of 90-Day Readmissions in Patients with Ischaemic Stroke.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Published Date: Oct 16, 2019

Abstract

OBJECT: Ischemic stroke readmission within 90 days of hospital discharge is an important quality of care metric. The readmission rates of ischemic stroke patients are usually higher than those of patients with other chronic diseases. Our aim was to identify the ischemic stroke readmission risk factors and establish a 90-day readmission prediction model for first-time ischemic stroke patients.

Authors

  • Yuan Xu
    Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, College of Life Sciences, Northwest University, Xi'an, China.
  • Xinlei Yang
    Medical Big-Data Center, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi China.
  • Hui Huang
    Department of Biobank, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Chen Peng
    Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China.
  • Yanqiu Ge
    School of Chemistry, Dalian University of Technology, Dalian 116023, PR China.
  • Honghu Wu
    Department of Information, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Jiajing Wang
    School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Medical School, Nanchang University, Nanchang, China.
  • Gang Xiong
    Department of Information, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Yingping Yi
    Department of Information, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

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