Established machine learning models to predict readmission for elderly patients with ischemic heart disease.

Journal: Kardiologia polska
PMID:

Abstract

BACKGROUND: The contribution of clinical features associated with 30-day or 1-year readmission in elderly patients with ischemic heart disease (IHD) and whether these features can be used to predict the readmission risk of patients has not been studied.

Authors

  • Xuewu Song
    Department of Pharmacy, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Feng Xian
    Department of Oncology, Nanchong Central Hospital, the second Clinical Medical College, North Sichuan Medical College, Nanchong, China.
  • Changyu Zhu
    Department of Pharmacy, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
  • Yi Luo
    Electrical and Computer Engineering Department, Bioengineering Department, University of California, Los Angeles, CA 90095 USA, and also with the California NanoSystems Institute, University of California, Los Angeles, CA 90095 USA.
  • Yilong Liu
    Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, China.
  • Qing Wen
    School of Cyberspace Science, Dongguan University of Technology, Dongguan, China.
  • Rongsheng Tong
    Department of Pharmacy, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. 318004031@qq.com.