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Vukuzazi

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
Page views
38185
Downloads
1035
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data processing
  • Metadata production

    • Identification

    Survey ID number
    AHRI.Vukuzazi.ClinicalData.2018.v1
    Title
    Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018.
    Country
    Name Country code
    South Africa ZA
    Abstract
    The datasets provided here will be used for devising a machine learning tool to improve upon CAD4TB's triaging of chest x-rays.
    Kind of Data
    Survey Data
    Unit of Analysis
    Each chest x-ray image or images are for a Vukuzazi study participant who had chest x-ray done.

    The clinical data, each record is for a single participant who participated in Vukuzazi and had chest x-ray done. Some individuals had more than one chest x-ray images and therefore have more than one record.

    Version

    Version Description
    V1.0.0

    Scope

    Topics
    Topic Vocabulary URI
    Chest x-ray; machine learning; tuberculosis; population health screening Africa Health Research Institute
    Keywords
    Tuberculosis

    Coverage

    Geographic Coverage
    uMkhanyakude district in northern KwaZulu-Natal
    Universe
    Individuals aged 15 years and above who are resident members of households in the AHRI DSS area.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Professor Deenan, Pillay UCL; AHRI
    Dr Olivier, Koole LSHTM; AHRI
    Dr. Emily, Wong AHRI
    Producers
    Name
    Africa Health Research Institute
    Funding Agency/Sponsor
    Name Role
    Wellcome Trust Core funding
    Other Identifications/Acknowledgments
    Name Affiliation Role
    Dr. Kobus, Herbst AHRI Chief Information Officer
    Dickman, Gareta AHRI Head of Research Data Management
    Jaco, Dreyer AHRI Data management, data cleaning
    Tumi, Madolo AHRI Data management, data cleaning
    Siyabonga, Nxumalo AHRI Data management, data cleaning

    Sampling

    Sampling Procedure
    N/A. All individuals aged 15 years and older who are resident members of households in the DSS area are eligible to participate Vukuzazi study.

    Data collection

    Dates of Data Collection
    Start End
    2018-05-01 2018-09-30

    Data processing

    Data Editing
    NA

    Metadata production

    DDI Document ID
    DDI.AHRI.Vukuzazi.ClinicalData.2018.v1
    Producers
    Name
    Africa Health Research Institute
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