skin: Accuracy of Computer-Aided Diagnosis of Melanoma: A...

In bamdit: Bayesian Meta-Analysis of Diagnostic Test Data

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 Sept. 30, 2024, 9:36 a.m.