Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.

Journal: The Journal of thoracic and cardiovascular surgery
PMID:

Abstract

OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model to predict 1-year mortality in patients with type A aortic dissection, improving risk classification and aiding clinical decision-making.

Authors

  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Wuyu Xiong
    Central Laboratory, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China; Hubei Provincial Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China.
  • Jiajuan Yang
    Yichang City Centre for Disease Control and Prevention, Yichang, China.
  • Ye Sang
    The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
  • Huiling Zhen
    Department of Medical Record Management, The First College of Clinical Medical of Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China.
  • Caiwei Tan
    Department of Medical Record Management, The First College of Clinical Medical of Science, China Three Gorges University, Yichang Central People's Hospital, Yichang, China.
  • Cuiyuan Huang
    Central Laboratory, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People's Hospital, Yichang, China; Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China; Hubei Provincial Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China.
  • Jin She
    Hubei Key Laboratory of Ischemic Cardiovascular Disease, Yichang, China; Hubei Provincial Clinical Research Center for Ischemic Cardiovascular Disease, Yichang, China.
  • Li Liu
    Metanotitia Inc., Shenzhen, China.
  • Wenqiang Li
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, Beijing, 100050, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Songlin Zhang
    College of Electronics and Information Engineering, Southwest University, Chongqing 400715, China. z574066616@163.com.
  • Jian Yang
    Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK, Canada.