Machine learning models for prognosis prediction in endodontic microsurgery.

Journal: Journal of dentistry
Published Date:

Abstract

OBJECTIVES: This study aimed to establish and validate machine learning models for prognosis prediction in endodontic microsurgery, avoiding treatment failure and supporting clinical decision-making.

Authors

  • Yang Qu
    Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China.
  • Zhenzhe Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Zhaojing Yang
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.
  • Haotian Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou.
  • Xiangya Huang
    Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China. Electronic address: hxiangya@mail.sysu.edu.cn.
  • Lisha Gu
    Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, China. Electronic address: gulisha@mail.sysu.edu.cn.