Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date:

Abstract

OBJECTIVE: To compare Cox models, machine learning (ML), and ensemble models combining both approaches, for prediction of stroke risk in a prospective study of Chinese adults.

Authors

  • Matthew Chun
    Clinical Trial Service Unit and Epidemiological Studies, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Robert Clarke
  • Benjamin J Cairns
    Clinical Trial Service Unit and Epidemiological Studies, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • David Clifton
    Computational Health Informatics Lab, Oxford Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom.
  • Derrick Bennett
    Clinical Trial Service Unit and Epidemiological Studies, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  • Yiping Chen
    Beijing Engineering Research Center for BioNanotechnology & CAS Key Laboratory for Biological Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, Beijing 100190, PR China. Electronic address: chenyp@nanoctr.cn.
  • Yu Guo
    Animal Disease Control Center of Inner Mongolia, Hohhot, China.
  • Pei Pei
    Beijing Municipal Key Laboratory of Child Development and Nutriomics, Capital Institute of Pediatrics, Beijing 100020, China.
  • Jun Lv
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Canqing Yu
    Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Sciences Center, Beijing, China.
  • Ling Yang
    Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine Shanghai 201203 China pwang@shutcm.edu.cn.
  • Liming Li
    Department of Mechanical Engineering, Stony Brook University, NY, USA.
  • Zhengming Chen
    Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, New York, NY.
  • Tingting Zhu
    Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.