主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2021, Vol. 21 ›› Issue (12): 1856-1860.doi: 10.3969/j.issn.1672-1756.2021.12.021

• Information Management • Previous Articles     Next Articles

Construction of prediction model of BP neural network-based Post-Intensive Care Syndrome

WANG Ying, JIANG Zhixia, XU Lu, CHANG Yonghu, FU Xiaoyun, LUO Xu, HE Manman, HE Min, CHEN Fang, FU Bao, HU Rujun, ZHANG Xia   

  1. Nursing Department, Affiliated Hospital of Chongqing Medical University, Chongqing, 400042, China
  • Online:2021-12-15 Published:2021-12-15
  • Contact: E-mail:jzxhl@126.com

Abstract: Objective: To construct the prediction model of Back Propagation (BP) neural network-based Post-Intensive Care Syndrome (PICS). Methods: A total of 709 patients transferred from a comprehensive ICU in a tertiary grade A hospital in Guizhou province were investigated from August 2019 to July 2020. The prediction model was constructed based on general characteristics, clinical history data and the evaluation of PICS, 80% of the participants were randomly selected as the training set, the remaining 20% participants were used as the test set, and BP algorithm was used to construct prediction model. Results: The classification accuracy of the model reached 88%, the predicted output and the expected output showed a good degree of coincidence, the overall accuracy of the model was high and the fitting effect was satisfied. Conclusion: The BP neural network-based prediction model can be used to predict the occurrence of PICS.

Key words: Post-Intensive Care syndrome; BP neural network; influencing factors; prediction model

CLC Number: R47