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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.

bamdit documentation built on April 5, 2022, 1:09 a.m.