日用化学工业（中英文）2025，Vol.55Issue(3)：349-357,9.DOI:10.3969/j.issn.2097-2806.2025.03.011
基于KNN算法建立晒后皮肤状态评估模型
Modeling of post-sunburn skin condition assessment based on KNN algorithm
李以洪 1许梦然 1盘瑶 1吴金昊 2刘琦 2常思思 2赵华1
作者信息
- 1. 北京工商大学 轻工科学与工程学院,北京 100048
- 2. 北京颐唯实检测技术有限公司,北京 100142
- 折叠
摘要
Abstract
This study established a model for assessing post-sunburn skin condition by exploring the trends of skin indexes after different doses of UV irradiation.First,we screened out the indicators with regular and sensitive changes,optimized the tanning model to further expand the sample library,used the clinical experts'grading of post-tanning skin status as the learning standard,and trained the identification of the indicator data based on the K Neighborhood Classification Algorithm(KNN)to establish the post-tanning skin status grading assessment model.After 10-fold cross validation,when the hyperparameter K=3,the mmce mean value of the model is 0.015,and the mean value of the prediction accuracy acc is 0.985,with a prediction accuracy of 98.5%.The results show that the model is able to objectively quantify the subjective ratings of post-tanning skin condition and recognize post-tanning skin condition with high efficiency and accuracy.The results can provide technical support for the assessment of post-sunburn skin condition and the evaluation system of post-sunburn repair efficacy.关键词
日晒/皮肤状态/黑化模型/KNN算法Key words
sun exposure/skin condition/tanning model/KNN algorithm分类
化学工程引用本文复制引用
李以洪,许梦然,盘瑶,吴金昊,刘琦,常思思,赵华..基于KNN算法建立晒后皮肤状态评估模型[J].日用化学工业（中英文）,2025,55(3):349-357,9.
