Predicting survival in heart failure: a risk score based on machine-learning and change point algorithm.

Journal: Clinical research in cardiology : official journal of the German Cardiac Society
Published Date: Jul 14, 2021

Abstract

OBJECTIVE: Machine learning (ML) algorithm can improve risk prediction because ML can select features and segment continuous variables effectively unbiased. We generated a risk score model for mortality with ML algorithms in East-Asian patients with heart failure (HF).

Authors

  • Wonse Kim
    Department of Mathematical Sciences, Seoul National University, Gwanak Ro 1, Gwanak-Gu, Seoul, Republic of Korea.
  • Jin Joo Park
    Department of Cardiology, University of California, San Diego, California, USA.
  • Hae-Young Lee
    Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Kye Hun Kim
    The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu, Gwangju 501-757, South Korea.
  • Byung-Su Yoo
    Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
  • Seok-Min Kang
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Sang Hong Baek
    Department of Internal Medicine, the Catholic University of Korea, Seoul, Republic of Korea.
  • Eun-Seok Jeon
    Department of Internal Medicine, Sungkyunkwan University College of Medicine, Seoul, Republic of Korea.
  • Jae-Joong Kim
    Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Myeong-Chan Cho
    Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Republic of Korea.
  • Shung Chull Chae
    Department of Internal Medicine, Kyungpook National University College of Medicine, Daegu, Republic of Korea.
  • Byung-Hee Oh
    Division of Cardiology, Cardiovascular Center, Mediplex Sejong Hospital, Incheon, Republic of Korea.
  • Woong Kook
    Department of Mathematical Sciences, Seoul National University, Gwanak Ro 1, Gwanak-Gu, Seoul, Republic of Korea. woongkook@snu.ac.kr.
  • Dong-Ju Choi
    Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.

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