Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45212, first published .
Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Danbee Kang   1, 2 * , PhD ;   Hyunsoo Kim   1, 2 * , MS ;   Juhee Cho   1, 2 , MA, PhD ;   Zero Kim   3 , PhD ;   Myungjin Chung   3 , MD, PhD ;   Jeong Eon Lee   4 , MD, PhD ;   Seok Jin Nam   4 , MD, PhD ;   Seok Won Kim   4 , MD, PhD ;   Jonghan Yu   4 , MD, PhD ;   Byung Joo Chae   4 , MD, PhD ;   Jai Min Ryu   4 , MD, PhD ;   Se Kyung Lee   4 , MD, PhD

1 Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea

2 Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Republic of Korea

3 Medical AI Research Center, Samsung Medical Center, Seoul, Republic of Korea

4 Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Se Kyung Lee, MD, PhD
  • Department of Surgery
  • Samsung Medical Center
  • Sungkyunkwan University School of Medicine
  • 81 Irwon-ro, Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 2-3410-3478
  • Fax: 82 2-3410-6982
  • Email: zzangdoc@gmail.com