Constructing a Predictive Model for Psychological Distress of Young- and Middle-Aged Gynaecological Cancer Patients.

Journal: Journal of evaluation in clinical practice
PMID: 39564950

Abstract

BACKGROUND: Cancer patients experience substantial psychological distress which causes the reduction of the quality of life. However, the risk of psychological distress has not been well predicted especially in young- and middle-aged gynaecological cancer patients. This study aimed to develop a prediction model for psychological distress in young- and middle-aged gynaecological cancer patients using the artificial neural network (ANN).

Authors

  • Yitong Qu
    Department of Nursing, Tianjin Medical University, Tianjin, China.
  • YiNan Zhang
    School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
  • Xueying Zhou
    Department of Nursing, Tianjin Medical University, Tianjin, China.
  • Linan Wang
    Shanghai Health Development Research Center, Room 804, No 1477, West Beijing Road, Jing'an District, Shanghai, 20040, China. wanglinan@51mch.com.
  • Xinran Zhu
    Department of Nursing, Tianjin Medical University, Tianjin, China.
  • Shimei Jin
    Department of Nursing, Tianjin Medical University, Tianjin, China.
  • Shumei Zhuang
    Department of Nursing, Tianjin Medical University, Tianjin, China.

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