Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation.

Journal: BMC cardiovascular disorders
PMID: 39134969

Abstract

OBJECTIVE: Accurate prediction of survival prognosis is helpful to guide clinical decision-making. The aim of this study was to develop a model using machine learning techniques to predict the occurrence of composite thromboembolic events (CTEs) in elderly patients with atrial fibrillation(AF). These events encompass newly diagnosed cerebral ischemia events, cardiovascular events, pulmonary embolism, and lower extremity arterial embolism.

Authors

  • Jiefeng Ren
    Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
  • Haijun Wang
    Department of Intensive Care Unit, National Cancer Center/National Clinical Research Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Song Lai
    Department of Radiation Oncology & CTSI Human Imaging Core, University of Florida, Gainesville, FL.
  • Yi Shao
    Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Eye Disease, Shanghai, China.
  • Hebin Che
    National Engineering Laboratory for Medical Big Data Application Technology, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China.
  • Zaiyao Xue
    Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
  • Xinlian Qi
    Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
  • Sha Zhang
    College of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830017, China.
  • Jinkun Dai
    Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
  • Sai Wang
    Department of Neurology, Xiangya Hospital, Central South University, Jiangxi, Nanchang, 330006, Jiangxi, China.
  • Kunlian Li
    Department of Geriatric Cardiology, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
  • Wei Gan
    College of Computer Science, Sichuan University, Chengdu, 610064, People's Republic of China.
  • Quanjin Si
    Department of the Third Health Care, National Clinical Research Center for Geriatric Diseases, Second Medical Center of Chinese PLA General Hospital, Beijing, 100853, China. quanjin2004@sohu.com.

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