Table 1 Summary of the main and external datasets.
From: Artificial intelligence-assisted prediction of Demodex mite density in facial erythema
Characteristics | Dataset | ||
|---|---|---|---|
Main | External | ||
Data collection period | 2016. 1–2022. 12 | 2020. 3–2023. 8 | |
Location (hospital) | Department of dermatology, Severance Hospital | Department of dermatology, Yongin Severance Hospital | |
Dataset allocation | Training (80%) | External testing (100%) | |
Validation (10%) | |||
(Internal) Testing (10%) | |||
Camera type | Digital camera (Canon EOS RP 24–105 mm; 26.2 megapixels) | Digital camera (Canon EOS 800D, 24.2 megapixels) | |
Lighting condition | Standardized indoor clinical lighting with a uniform blue background and white overhead illumination | ||
Patient demographics | |||
Unique individuals, n | 1024 | 100 | |
Female sex | 697 (68.1) | 70 (70.0) | |
Age at diagnosis | 32.5 (24.0–47.0) | 37.5 (28.0–53.0) | |
High Demodex density | 255 (24.9) | 45 (45.0) | |
Associated symptomsa | |||
Flushing | 434 (42.4) | 49 (49.0) | |
Itching | 828 (80.9) | 78 (78.0) | |
Burning/stinging | 223 (21.8) | 30 (30.0) | |
Edema | 127 (12.4) | 21 (21.0) | |
Dry sense | 154 (15.0) | 19 (19.0) | |
Positive patch test | 316 (30.9) | 41 (41.0) | |
Extrafacial skin involvement | 490 (47.9) | 26 (26.0) | |
Serum allergy marker | |||
ECP (µg/L) | 26.2 (17.0–41.0) | 22.7 (16.2–31.7) | |
Eosinophil count (cells/µL) | 160.0 (80.0–310.0.0.0) | 111.2 (67.5–205.0) | |
Total IgE (IU/mL) | 111.2 (35.0–461.9.0.9) | 66.7 (27.7–205.0) | |
