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

South Africa, 2018

Get Microdata

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

Page views

28628

Downloads

710

MO Lung Field (MOLungField)

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

Overview

Valid: 1098

Invalid: 0

Type: Discrete

Decimal: 0

Width: 12

Range: 1 - 2

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Normal Lung Fields	934	85.1%
2	Abnormal Lung Fields	164	14.9%

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.

Back to Catalog