Predicting lower limb lymphedema after cervical cancer surgery using artificial neural network and decision tree models.

Journal: European journal of oncology nursing : the official journal of European Oncology Nursing Society
Published Date:

Abstract

PURPOSE: This study aimed to develop and validate accessible artificial neural network and decision tree models to predict the risk of lower limb lymphedema after cervical cancer surgery.

Authors

  • Jin Hu
    Department of Mathematics, Chongqing Jiaotong University, Chongqing, China. Electronic address: windyvictor@gmail.com.
  • Gaoming Liu
    Department of Lymphedema Rehabilitation, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
  • Yuanyuan Liu
    College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
  • Meifang Yuan
    State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China.
  • Feng Zhang
    Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; Key Laboratory of Food Quality and Safety for State Market Regulation, Beijing 100176, China. Electronic address: fengzhang@126.com.
  • Jiayou Luo