Preliminary study on the management model of smart triage diagnosis of nervous system diseases
10.3760/cma.j.issn.1000-6672.2019.05.009
- VernacularTitle:神经系统疾病智慧分诊管理模型初探
- Author:
Boran WANG
1
;
Xia LIN
;
Jinqian ZHANG
;
Wanlin ZHU
;
Xiaodong ZHU
;
Chen WANG
Author Information
1. 首都医科大学附属北京天坛医院门诊部 100070
- Keywords:
Nervous system diseases;
Smart triage;
Artificial neural network;
Bayesian decision theory;
Management model
- From:
Chinese Journal of Hospital Administration
2019;35(5):388-391
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop an effective decision tree management model for smart triage of nervous system diseases based on artificial neural networks and Bayesian decision theory. Methods Bayesian decision theory was used as the theoretical basis, and convolutional neural network was used to complete the rapid specialist / sub-specialist machine learning. For the specialist or sub-specialist triage data, circular neural network and Bayesian algorithm were performed to complete the probability distribution and convergence of disease symptoms and diagnosis. Results The decision tree management model and theoretical demonstration were established. According to the characteristics of the transfer learning, the rapid learning of nervous system diseases and accurate triage system, and the remote smart triage system were successfully constructed. Conclusions The management model could provide theoretical references for further use, and alleviate to some extent the currently high rate of outpatient appointment withdrawal and changes.
