Computer Aided Detection of Tuberculosis and Silicosis 2019-2021

South Africa, 2019 - 2021

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Reference ID

zaf-uctfhs-cadts-2019-2021-v1

Producer(s)

Rodney Ehrlich, Stephen Barker, Jim te Water Naude, David Rees, Barry Kistnasamy, Julian Naidoo, Annalee Yassi

Collections

African Research Replication and Reproducibility Data

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Documentation in PDF DDI/XML JSON

Created on

Mar 25, 2022

Last modified

Mar 28, 2022

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Data file: cadold-2019-2021

Overview

Valid: 1002

Invalid: 0

Type: Discrete

loc_start_pos: 6

loc_end_pos: 40

Width: 35

Range: -

Format: character

Questions and instructions

Categories

Value	Cases
Good (all criteria met)	595	59.4%
Good (few technical defects)	390	38.9%
Poor (has defects but can classify)	17	1.7%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

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