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. 2021 Jul 2;23(7):e20708. doi: 10.2196/20708

Table 2.

Influence of included patient data on the classification performance of the single skin diseases or lesionsa.

Study, patient data, and metric Skin disease

MELb NVc BCCd SCCe AKf AKIECg BKLh DFi VASCj MISCk SKl
Gessert et al [46]: age, sex, location

AUCm +n (+/−)o p + Xq + + X X

Sensitivity X X X

Specificity + + + + + X + + + X X
Sriwong et al [55]: age, sex, location

Sensitivity + + X X + + X X

Specificity + X X + + +/− + X X
Li et al [52]: age, sex, location

Sensitivity + X X + + + X X
Kawahara et al [50]: sex, location, elevation

Sensitivity + + + X X X X X X + +

Specificity + + +/− X X X X X X + +
Pacheco and Krohling [53]: age, location, itches, bleeds, pain, increased, changed, elevation

Sensitivity + + + + + X X X X X +

Specificity + + + + X X X X X +

aThe study of Yap et al [56] is excluded because the confusion matrix was not legible. It must be noticed that there are some combinations where the outcome deteriorates by including patient data.

bMEL: melanoma.

cNV: Melanocytic nevus.

dBCC: basal cell carcinoma.

eSCC: squamous cell carcinoma.

fAK: Actinic keratosis.

gAKIEC: actinic keratosis and intraepithelial carcinoma.

hBKL: benign keratosis-like lesion.

iDF: dermatofibroma.

jVASC: vascular lesion.

kMISC: miscellaneous and vascular lesion.

lSK: seborrheic keratosis.

mAUC: area under the curve.

nIndicates improvement compared with classification performance without patient data.

oIndicates no change compared with classification performance without patient data.

pIndicates degradation compared with classification performance without patient data.

qThis implies that the lesion type was not considered in the classification task of the study.