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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82145, first published .
A female medical professional in navy scrubs discusses a treatment plan with a patient in a clinic.

Multioutput Machine Learning Model for Predicting Postoperative Outcomes After Liposuction: Algorithm Development and Validation Study in a Multicenter Cohort

Multioutput Machine Learning Model for Predicting Postoperative Outcomes After Liposuction: Algorithm Development and Validation Study in a Multicenter Cohort

Chaewoo Lee   1, 2 * , BSc ;   Seoyoung Park   2, 3 * , MSc ;   Jiyoung Hwang   2 , PhD ;   Selin Woo   4 , PhD ;   Youn Chan Park   5 , MD ;   Jae Won Seo   6 , MD ;   Sun Ho Lee   7 , MD ;   Jae Hyun Ahn   8 , MD ;   Dong Keon Yon   2, 3, 9 , MD, PhD ;   Sang Youl Rhee   2, 3, 4, 10 , MD, PhD

1 Department of Computer Science and Engineering, Seoul Metropolitan University College of Engineering, Seoul, Republic of Korea

2 Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

3 Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea

4 Department of Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea

5 Busan 365mc Hospital, Busan, Republic of Korea

6 Daegu 365mc Hospital, Daegu, Republic of Korea

7 Daejeon 365mc Hospital, Daejeon, Republic of Korea

8 Incheon 365mc Hospital, Incheon, Republic of Korea

9 Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea

10 Department of Endocrinology and Metabolism, Kyung Hee University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong Keon Yon, MD, PhD
  • Center for Digital Health
  • Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine
  • 23 Kyungheedae-ro, Dongdaemun-gu
  • Seoul 02447
  • Republic of Korea
  • Phone: 82 2-961-0680
  • Fax: 82 504-478-0201
  • Email: yonkkang@gmail.com