Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018.
Pillay, D, Koole, O
and Wong, E
(2018).
Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018.
[Dataset].
Africa Health Research Institute.
https://data.ahri.org/index.php/catalog/909/
and Wong, E
(2018).
Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018.
[Dataset].
Africa Health Research Institute.
https://data.ahri.org/index.php/catalog/909/
The datasets will be used for devising a machine learning tool to improve upon CAD4TB's triaging of chest x-rays. 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.
Keywords
Chest x-ray, Machine Learning, Tuberculosis, population health screening| Item Type | Dataset |
|---|---|
| Capture method | Unknown |
| Date | 5 May 2018 |
| Language(s) of written materials | English |
| Creator(s) |
Pillay, D, Koole, O and Wong, E
|
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 06 Nov 2020 10:08 |
| Last Modified | 03 May 2023 14:41 |
| Publisher | Africa Health Research Institute |
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