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

Metadata

Documentation in PDF DDI/XML JSON

Created on

Mar 25, 2022

Last modified

Mar 28, 2022

Page views

7566

Downloads

240

(TB__probable_or_definite_)

Data file: cadold-2019-2021

Overview

Valid: 1002

Invalid: 0

Minimum: 0

Maximum: 1

Mean: 0.343

Standard deviation: 0.475

Type: Discrete

Decimal: 0

Width: 1

Range: 0 - 1

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
0		658	65.7%
1		344	34.3%

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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