Comparison of Predictive Models for Keloid Recurrence Based on Machine Learning.

Journal: Journal of cosmetic dermatology
PMID: 39918034

Abstract

OBJECTIVES: To establish, evaluate and compare three recurrence prediction models for keloid patients using machine learning methods.

Authors

  • Yan Hao
    Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Mengjie Shan
    Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Yijun Xia
    Department of Plastic and Cosmetic Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Xinwen Kuang
    Peking Union Medical College, Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, China.
  • Kexin Song
    Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Youbin Wang
    Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China.

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