| skin {bamdit} | R Documentation |
Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis.
Description
This data frame contains results 70 studies investigated computer-aided diagnosis of melanoma
Format
A matrix with 70 rows and 15 columns. Each row represents a study's results, the columns are:
- "TP"
number of true positives.
- "TN"
number of ture negatives.
- "FP"
number of false positives.
- "FN"
number of false negative.
- "study_ID"
Study identification
- "test_set_source"
Public or propietary.
- "method"
Diagnostic technique used in the study: computer vision; deep learning or hardware-based.
- "test_set_independent"
yes or no.
- "SAMPLE_SELECTION_BR"
QUADAS-2, Patient selection bias.
- "INDEX_TEST_BR"
QUADAS-2, Index test description/application bias.
- "REFERENCE_STANDARD_BR"
QUADAS-2, Reference standard bias.
- "FLOW_AND_TIMING_BR"
QUADAS-2, Patient flow and timing bias.
- "SAMPLE_SELECTION_AP
QUADAS-2, Patient selection bias.
- "INDEX_TEST_AP"
QUADAS-2, Index test description/application bias.
- "REFERENCE_STANDARD_AP"
QUADAS-2, Reference standard bias.
Source
The data were obtained from
Dick V, Sinz C, Mittlböck M, Kittler H, Tschandl P. Accuracy of Computer-Aided Diagnosis of Melanoma: A Meta-analysis. JAMA Dermatol. 2019 Nov 1;155 11:1291-1299. doi: 10.1001/jamadermatol.2019.1375. PMID: 31215969; PMCID: PMC6584889.