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Relationship between Hyperuricemia and Haar-Like Features on Tongue Images.

Cui Y, Liao S, Wang H, Liu H, Wang W, Yin L - Biomed Res Int (2015)

Bottom Line: The sensitivity of the feature with the maximum AUC value was 0.800 and specificity was 0.826 when the Youden index was maximized.Features that performed well were concentrated in the tongue root region.The locations of these discriminative features were in agreement with the interpretation of tongue appearance in traditional Chinese and Western medicine.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China ; Department of Common Required Courses, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.

ABSTRACT

Objective: To investigate differences in tongue images of subjects with and without hyperuricemia.

Materials and methods: This population-based case-control study was performed in 2012-2013. We collected data from 46 case subjects with hyperuricemia and 46 control subjects, including results of biochemical examinations and tongue images. Symmetrical Haar-like features based on integral images were extracted from tongue images. T-tests were performed to determine the ability of extracted features to distinguish between the case and control groups. We first selected features using the common criterion P < 0.05, then conducted further examination of feature characteristics and feature selection using means and standard deviations of distributions in the case and control groups.

Results: A total of 115,683 features were selected using the criterion P < 0.05. The maximum area under the receiver operating characteristic curve (AUC) of these features was 0.877. The sensitivity of the feature with the maximum AUC value was 0.800 and specificity was 0.826 when the Youden index was maximized. Features that performed well were concentrated in the tongue root region.

Conclusions: Symmetrical Haar-like features enabled discrimination of subjects with and without hyperuricemia in our sample. The locations of these discriminative features were in agreement with the interpretation of tongue appearance in traditional Chinese and Western medicine.

No MeSH data available.


Related in: MedlinePlus

Receiver operating characteristic curves of features in the green plain.
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fig8: Receiver operating characteristic curves of features in the green plain.

Mentions: The ROC curves of the two features in the red plain are shown in Figure 7. The AUC of feature (11,21,40,85) was 0.654, preventing proper analysis of sensitivity and specificity. The AUC of feature (30,23,10,30) was 0.810; maximization of the Youden index yielded sensitivity and specificity values of 0.844 and 0.652, respectively. Features in the green and blue color plains showed similar characteristics. In the green plain, the AUC value of feature (12,11,35,85) was only 0.612, and those of feature (38,24,10,10) and feature (33,24,10,15) were 0.726 and 0.720, respectively (Figure 8). Maximization of the Youden index yielded sensitivity values of 0.500 and 0.844 and specificity values of 0.391 and 0.933 for the latter two features, respectively. These two features were also deemed to be inapplicable because of their low sensitivity values. In the blue plain, the AUC of feature (11,21,40,85) was 0.704 and those of feature (30,11,20,30) and feature (29,11,20,30) were 0.877 and 0.875, respectively (Figure 9). Sensitivity and specificity values for feature (29,11,20,30) were 0.800 and 0.804, respectively, when the Youden index was maximized. This feature achieved the best performance (sensitivity, 0.800; specificity, 0.826) when the maximum value of the Youden index was 0.626.


Relationship between Hyperuricemia and Haar-Like Features on Tongue Images.

Cui Y, Liao S, Wang H, Liu H, Wang W, Yin L - Biomed Res Int (2015)

Receiver operating characteristic curves of features in the green plain.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4414229&req=5

fig8: Receiver operating characteristic curves of features in the green plain.
Mentions: The ROC curves of the two features in the red plain are shown in Figure 7. The AUC of feature (11,21,40,85) was 0.654, preventing proper analysis of sensitivity and specificity. The AUC of feature (30,23,10,30) was 0.810; maximization of the Youden index yielded sensitivity and specificity values of 0.844 and 0.652, respectively. Features in the green and blue color plains showed similar characteristics. In the green plain, the AUC value of feature (12,11,35,85) was only 0.612, and those of feature (38,24,10,10) and feature (33,24,10,15) were 0.726 and 0.720, respectively (Figure 8). Maximization of the Youden index yielded sensitivity values of 0.500 and 0.844 and specificity values of 0.391 and 0.933 for the latter two features, respectively. These two features were also deemed to be inapplicable because of their low sensitivity values. In the blue plain, the AUC of feature (11,21,40,85) was 0.704 and those of feature (30,11,20,30) and feature (29,11,20,30) were 0.877 and 0.875, respectively (Figure 9). Sensitivity and specificity values for feature (29,11,20,30) were 0.800 and 0.804, respectively, when the Youden index was maximized. This feature achieved the best performance (sensitivity, 0.800; specificity, 0.826) when the maximum value of the Youden index was 0.626.

Bottom Line: The sensitivity of the feature with the maximum AUC value was 0.800 and specificity was 0.826 when the Youden index was maximized.Features that performed well were concentrated in the tongue root region.The locations of these discriminative features were in agreement with the interpretation of tongue appearance in traditional Chinese and Western medicine.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science and Technology, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China ; Department of Common Required Courses, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Road, Nankai District, Tianjin 300193, China.

ABSTRACT

Objective: To investigate differences in tongue images of subjects with and without hyperuricemia.

Materials and methods: This population-based case-control study was performed in 2012-2013. We collected data from 46 case subjects with hyperuricemia and 46 control subjects, including results of biochemical examinations and tongue images. Symmetrical Haar-like features based on integral images were extracted from tongue images. T-tests were performed to determine the ability of extracted features to distinguish between the case and control groups. We first selected features using the common criterion P < 0.05, then conducted further examination of feature characteristics and feature selection using means and standard deviations of distributions in the case and control groups.

Results: A total of 115,683 features were selected using the criterion P < 0.05. The maximum area under the receiver operating characteristic curve (AUC) of these features was 0.877. The sensitivity of the feature with the maximum AUC value was 0.800 and specificity was 0.826 when the Youden index was maximized. Features that performed well were concentrated in the tongue root region.

Conclusions: Symmetrical Haar-like features enabled discrimination of subjects with and without hyperuricemia in our sample. The locations of these discriminative features were in agreement with the interpretation of tongue appearance in traditional Chinese and Western medicine.

No MeSH data available.


Related in: MedlinePlus