基于KNN算法建立晒后皮肤状态评估模型

doi:10.3969/j.issn.2097-2806.2025.03.011

Abstract

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.

Key words: sun exposure, skin condition, tanning model, KNN algorithm

CLC Number:

TQ658

Yihong Li, Xu Mengran, Pan Yao, Wu Jinhao, Liu Qi, Chang Sisi, Zhao Hua. Modeling of post-sunburn skin condition assessment based on KNN algorithm[J].China Surfactant Detergent & Cosmetics, 2025, 55(3): 349-357.

Figures/Tables 21

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References 28

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表现	等级
不均匀轻微红斑	1
均匀轻微红斑	2
中度红斑	3
深色重度红斑	4

测试时间/剂量	TEWL值/（g/（h·m²））
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	8.61±1.67	9.05±2.70	8.84±2.11	8.90±1.72
即时	8.74±1.65	8.71±1.69	8.54±1.71	8.99±1.86
2 h	9.94±2.16	9.57±1.75	9.57±1.90	9.49±1.84
4 h	9.79±2.60	8.85±2.02	8.90±2.06	9.25±1.92
6 h	9.75±1.72	9.27±1.70	9.42±2.07	9.79±2.19
24 h	9.63±2.14	9.65±1.87	9.66±1.88	9.69±1.75
d3	8.91±2.26	7.97±1.69	8.38±1.96	8.60±2.51
d7	9.15±2.40	8.88±3.00	9.45±3.56	9.06±2.91
d14	9.51±1.66	9.07±1.68^d	9.37±1.79	10.10±2.10^b
d28	9.03±1.73	8.47±2.04	8.40±1.92	8.80±1.94

测试时间/剂量	SCH值/a.u.
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	54.95±11.85	58.22±11.94	55.78±11.16	53.73±12.09
即时	56.73±10.01	58.95±10.86	55.83±8.26	54.85±7.83
2 h	59.33±9.31	59.90±8.33^d	57.60±8.54	55.73±7.94^b
4 h	57.83±11.01	57.78±10.69	56.07±9.45	55.88±8.64
6 h	58.48±11.63	60.08±9.31	59.68±10.03	59.80±8.73
24 h	60.05±8.32	60.93±8.72	57.98±8.90	57.83±8.62
d3	57.90±9.98	57.40±10.16	54.93±9.02	55.05±9.33
d7	60.10±8.73^cd	56.80±10.99^cd	51.13±10.24^abd	45.23±9.42^abc
d14	53.35±10.40^cd	49.78±9.78^d	47.30±12.10^a	43.48±11.19^ab
d28	53.67±10.16	52.73±11.38	53.63±9.91	54.02±10.57

测试时间/剂量	EI值
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	149.23±49.08	150.10±47.53	141.38±54.01	133.23±38.15
即时	165.46±38.65	158.24±43.32	166.39±40.28	165.89±47.42
2 h	170.59±38.48^cd	184.86±47.59^cd	211.15±50.35^ab	219.14±53.99^ab
4 h	162.22±36.31^bcd	220.29±60.97^acd	266.49±60.50^abd	293.70±49.06^abc
6 h	169.66±36.69^bcd	259.13±56.04^acd	302.34±59.47^ab	323.08±59.49^ab
24 h	157.36±66.93^bcd	273.22±44.83^acd	338.88±71.68^abd	372.90±47.28^abc
d3	144.13±46.85^bcd	266.24±49.41^acd	333.81±57.43^abd	378.32±57.23^abc
d7	152.28±35.87^bcd	224.89±51.43^acd	305.35±54.65^abd	352.09±54.87^abc
d14	140.12±40.83^bcd	209.55±51.48^acd	265.22±47.44^abd	301.32±40.43^abc
d28	145.23±30.90^bcd	201.84±40.90^acd	241.22±42.20^abd	273.54±49.86^abc

测试时间/剂量	MI值
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	77.62±37.51	77.00±33.50	83.03±33.30	75.54±30.07
即时	91.20±31.07	91.71±31.76	94.08±32.08	87.85±32.46
2 h	86.26±37.69	90.75±40.01	93.67±32.84	80.48±36.45
4 h	92.57±36.94	90.34±43.07	92.28±43.60	80.48±38.95
6 h	91.25±37.52	84.03±39.95	87.33±39.45	79.41±37.62
24 h	88.83±36.33^d	79.62±43.35	72.52±45.70	65.14±38.85^a
d3	84.34±28.52	91.08±37.41	87.55±42.74	73.62±37.59
d7	80.13±31.13^bcd	120.08±27.08^acd	149.87±39.65^ab	168.86±50.82^ab
d14	78.39±30.44^bcd	119.40±26.99^acd	153.25±30.42^abd	168.74±29.91^abc
d28	79.54±31.58^bcd	119.58±34.28^acd	143.35±35.11^ab	158.01±33.76^ab

Modeling of post-sunburn skin condition assessment based on KNN algorithm

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References 28

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分级	6 h	24 h	d7	d14
1	6 人	22 人	20 人	26 人
2	113 人	79 人	118 人	180 人
3	121 人	128 人	102 人	40 人
4	6 人	17 人	6 人	0 人

测试时间/剂量	L^*值
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	65.81±2.45	65.94±2.19	65.75±2.64	65.63±2.05
即时	65.34±2.47^d	64.78±2.38	64.80±2.14	64.10±2.00^a
2 h	64.55±1.92^cd	63.88±2.58^d	63.15±2.51	62.78±1.84^a
4 h	64.48±2.62^bcd	62.41±2.60^ad	61.49±2.44^a	60.72±2.61^ab
6 h	64.50±2.40^bcd	61.66±2.56^ad	60.66±2.40^a	60.14±2.39^ab
24 h	65.85±2.12^bcd	61.57±2.69^acd	59.84±2.25^abd	58.71±2.09^abc
d3	65.71±1.73^bcd	60.95±2.18^acd	58.54±2.05^abd	57.21±1.93^abc
d7	65.57±2.53^bcd	60.19±2.36^acd	57.02±2.50^abd	54.01±1.67^abc
d14	65.57±2.34^bcd	61.26±2.27^acd	58.29±2.29^abd	56.06±1.78^abc
d28	65.64±2.20^bcd	61.49±2.23^acd	59.27±2.19^abd	56.72±1.86^abc

测试时间/剂量	a^*值
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	3.65±1.24	3.65±1.49	3.80±1.33	3.89±1.24
即时	4.04±1.48	4.05±1.48	4.07±1.36	4.63±1.56
2 h	4.14±0.94^cd	4.61±1.52^d	5.35±1.76^a	5.92±1.64^ab
4 h	3.82±1.41^bcd	6.03±1.70^acd	7.29±2.07^ab	8.09±1.49^ab
6 h	3.73±1.04^bcd	7.13±1.87^acd	8.71±1.49^ab	9.18±1.64^ab
24 h	3.32±1.05^bcd	7.96±1.99^acd	10.04±1.77^abd	11.05±1.78^abc
d3	3.22±1.13^bcd	7.65±1.50^acd	9.95±1.61^abd	11.09±1.44^abc
d7	3.75±1.24^bcd	6.68±1.55^acd	8.77±1.73^abd	10.36±1.93^abc
d14	4.12±1.07^bcd	6.27±1.56^acd	7.86±1.58^abd	8.74±1.55^abc
d28	3.80±1.36^bcd	5.93±1.52^a	7.01±1.46^a	8.55±1.78^a

测试时间/剂量	b^*值
测试时间/剂量	0	1.5 倍MED	2 倍MED	2.5 倍MED
建模前	16.45±1.58	16.26±1.40	16.55±1.83	16.52±1.45
即时	16.35±1.80	16.04±1.69	16.15±1.74	16.15±1.71
2 h	16.25±1.66	15.74±1.65	15.73±1.88	15.68±1.54
4 h	16.15±1.78	15.74±1.37	15.53±1.58	15.52±1.23
6 h	15.91±1.79	15.19±1.61	15.60±1.33	15.59±1.30
24 h	16.55±1.64^d	16.33±1.61^d	15.99±1.83	15.51±1.44^ab
d3	16.50±1.72^d	16.62±1.68^d	15.84±2.33	14.90±2.09^ab
d7	17.23±1.35^b	18.53±1.06^ad	17.93±1.97	17.06±2.02^b
d14	17.01±1.87^bcd	18.57±1.60^a	18.66±1.85^a	18.29±2.19^a
d28	16.83±1.66^bcd	18.97±1.32^a	19.14±1.70^a	18.87±1.66^a