Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018.

South Africa, 2018

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Reference ID

AHRI.Vukuzazi.ClinicalData.2018.v1

Producer(s)

Professor Deenan, Pillay, Dr Olivier, Koole, Dr. Emily, Wong

Collections

Vukuzazi Data

Metadata

Documentation in PDF DDI/XML JSON

Created on

Dec 06, 2018

Last modified

Dec 06, 2018

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28628

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Cxr Radiologist Conclusion (CxrRadiologistConclusion)

Data file: AHRI.Vukuzazi.ClinicaLData.2018.V1

Overview

Valid: 1098

Invalid: 0

Type: Discrete

Decimal: 0

Width: 12

Range: 1 - 6

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	N = Normal	811	73.9%
2	AD-NS = abnormality detected ? not significant	59	5.4%
3	ADS-NA = abnormality detected, significant ? no active disease	158	14.4%
4	ADS-NT = abnormality detected, significant ? not tuberculosis	0	0%
5	ADS-TB = abnormality detected, significant ? tuberculosis	13	1.2%
6	ADS-U = abnormality detected, significant ? unclassified	57	5.2%

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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