[1]王伟华.皮肤病易发性的空气环境因素相关性智能分析模型及应用[J].医学信息,2021,34(01):27-30.[doi:10.3969/j.issn.1006-1959.2021.01.008]
 WANG Wei-hua.The Intelligent Analysis Model and Application of the Correlation of Air Environmental Factors on the Susceptibility of Skin Diseases[J].Medical Information,2021,34(01):27-30.[doi:10.3969/j.issn.1006-1959.2021.01.008]
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皮肤病易发性的空气环境因素相关性智能分析模型及应用()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年01期
页码:
27-30
栏目:
出版日期:
2021-01-01

文章信息/Info

Title:
The Intelligent Analysis Model and Application of the Correlation of Air Environmental Factors on the Susceptibility of Skin Diseases
文章编号:
1006-1959(2021)01-0027-04
作者:
王伟华
(北京交通大学医院医学外科,北京 100044)
Author(s):
WANG Wei-hua
(Medical Surgery,Beijing Jiaotong University Hospital,Beijing 100044,China)
关键词:
皮肤病易发性空气环境因素神经网络方法分析模型
Keywords:
Skin diseaseSusceptibilityAir environmental factorsNeural network methodAnalysis model
分类号:
R751
DOI:
10.3969/j.issn.1006-1959.2021.01.008
文献标志码:
A
摘要:
皮肤病的发生和外界诱发因素有一定相关性,其中空气质量因素是重要因素之一。通过对一定时间段内的门诊病例分析,以痤疮为代表划分了门诊病例中皮肤病易发性的程度等级,结合同期的空气质量指标的变化情况,应用人工神经网络方法,建立了分析痤疮皮肤病和空气质量指标相关性的预测模型,探讨了皮肤病风险预测的新的途径。
Abstract:
The occurrence of skin diseases has a certain correlation with external inducing factors, among which air quality factors are one of the important factors. Through the analysis of outpatient cases in a certain period of time, acne is used as the representative to classify the degree of susceptibility to skin diseases in outpatient cases, combined with the changes in air quality indicators during the same period, and the artificial neural network method is used to establish an analysis of acne skin The prediction model of the correlation between disease and air quality indicators explored new ways of skin disease risk prediction.

参考文献/References:

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更新日期/Last Update: 1900-01-01