Predictive model for 5-year mortality after breast cancer surgery in Taiwan residents.

Journal: Chinese journal of cancer
Published Date: Feb 27, 2017

Abstract

BACKGROUND: Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast cancer patients after surgery and compare predictive accuracy between the ANN model, multiple logistic regression (MLR) model, and Cox regression model.

Authors

  • Su-Hsin Huang
    Department of Nursing, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, China.
  • Joon-Khim Loh
    Division of Neurosurgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
  • Jinn-Tsong Tsai
    Department of Healthcare Administration and Medical Informatics, 38023Kaohsiung Medical University, Kaohsiung 807, Taiwan.
  • Ming-Feng Houg
    Division of General & Gastroenterological Surgery, Department of Surgery, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung, Taiwan, China.
  • Hon-Yi Shi
    Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, 100-Shih-Chun 1st Road, Kaohsiung, Taiwan, China. hshi@kmu.edu.tw.

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