Research Article
On Using a Mobile Application to Support Teledermatology: A Case Study in an Underprivileged Area in Colombia
Table 4
Most frequent values for each parameter class.
| | | % | Accurate (%) | Not accurate (%) |
| Lesion type | | | | | Patch | 21 | 32.8 | 14 (66.6) | 7 (33.3) | Macule | 12 | 18.7 | 9 (75.0) | 3 (25.0) | Total | 33 | 51.5 | | | Number | | | | | Solitary | 26 | 40.6 | 17 (65.4) | 9 (34.6) | Multiple | 23 | 25.9 | 19 (82.6) | 4 (17.4) | Total | 49 | 76.5 | | | Shape | | | | | Annular | 18 | 28.2 | 10 (55.5) | 8 (44.5) | Ragged | 14 | 21.8 | 11 (78.6) | 3 (21.4) | Total | 32 | 50 | | | Distribution | | | | | Asymmetrical | 23 | 35.9 | 12 (52.2) | 11 (47.8) | Confluent | 13 | 20.3 | 11 (84.6) | 2 (15.4) | Total | 36 | 56.2 | | | Border | | | | | Poorly demarcated | 43 | 67.1 | 35 (81.4) | 8 (18.6) | Total | 43 | 67.1 | | | Affected areas | | | | | Face | 25 | 39.0 | 24 (96.0) | 1 (4.0) | Hair | 13 | 20.3 | 7 (53.8) | 6 (46.2) | Total | 38 | 59.3 | | |
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