Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal: Journal of cardiovascular computed tomography
PMID: 31570323

Abstract

BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to examine the prognostic ability of a ML-based prediction algorithm utilizing routine health checkup data to predict all-cause mortality (ACM) compared to established risk prediction approaches.

Authors

  • Donghee Han
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea.
  • Kranthi K Kolli
    Dalio Institute of Cardiovascular Imaging, Weill Cornell Medicine, New York, USA.
  • Heidi Gransar
    Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California.
  • Ji Hyun Lee
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea.
  • Su-Yeon Choi
    Division of Cardiology, Seoul National University Healthcare System Gangnam Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Eun Ju Chun
    Department of Radiology, Seoul National University Bundang Hospital, Seoul, Republic of Korea.
  • Hae-Won Han
    Department of Internal Medicine, Gangnam Heartscan Clinic, Seoul, Republic of Korea.
  • Sung Hak Park
    Department of Radiology, Gangnam Heartscan Clinic, Seoul, Republic of Korea.
  • Jidong Sung
    Division of Cardiology, Department of Medicine, Sungkyunkwan University School of Medicine, Heart Stroke & Vascular Institute, Samsung Medical Center, Seoul, Republic of Korea.
  • Hae Ok Jung
    Division of Cardiology, Cardiovascular Center, College of Medicine, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea.
  • James K Min
    3 Department of Radiology, Weill Cornell Medicine , New York, New York.
  • Hyuk-Jae Chang
    Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic Of Korea.

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