标题:Research on diabetes prediction method based on electronic medical record data analysis    (Open Access)
作者:Hui, Chen ;Mingyuan, Wang ;Dingjun, Tang ;Longwei, Zhang ;Ziyan, Guo ;Jun, Zhao
通讯作者:Dingjun, Tang
作者机构:[Hui, Chen ] Zhejiang University, Hangzhou; 310058, China;[Dingjun, Tang ] Dongguan University of Technology, Dongguan; 523808, China;[Mingyuan, Wang 更多
会议名称:2020 International Conference on Energy, Environment and Bioengineering, ICEEB 2020
会议日期:August 7, 2020 - August 9, 2020
来源:E3S Web of Conferences
出版年:2020
卷:185
DOI:10.1051/e3sconf/202018503001
摘要:The continuous progress of computer science and technology has accelerated the pace of informatization construction of the medical system. Medical technology has developed rapidly in various research directions, and the construction of medical IT systems has been continuously improved. The popular application of electronic medical records has produced massive medical data in the medical process. At the same time, in medical behavior, more and more rely on data to make relevant judgments. The coverage of medical equipment is becoming more and more extensive, and the accuracy of data is constantly improving, and the clinical diagnosis is gradually shifting from qualitative judgment to quantitative analysis. Based on the analysis of electronic medical record data, this article studies and analyzes the risk factors leading to diabetes. By analyzing the characteristic variables, the risk factors significantly related to diabetes are obtained as the input variables of the BP neural network model. For complex problems, machine learning algorithms have higher accuracy and stronger generalization capabilities. Based on the BP artificial neural network model, this paper builds and builds a machine learning simulation to predict diabetes.
© The Authors, published by EDP Sciences, 2020.
收录类别:EI
资源类型:会议论文
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