Open AccessNeural Network Analysis Model of Air Environmental Factors for Urticaria Skin Disease Susceptibility
Author(s) -
Weihua Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1673/1/012060
Subject(s) - disease , medicine , air quality index , medical record , artificial neural network , quality (philosophy) , environmental health , computer science , artificial intelligence , geography , meteorology , philosophy , epistemology
There is a certain correlation between the occurrence of skin diseases and external inducing factors, among which air quality is one of the important factors. Based on the analysis of outpatient medical records in a certain period of time, taking urticaria as a representative, the degree of skin disease susceptibility in outpatient medical records was divided. Combined with the changes of air quality indicators in the same period, the prediction model for analyzing the correlation between urticaria skin diseases and air quality indicators was established by using artificial neural network method, and a new way of skin disease risk prediction was discussed.