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. [Online]. Africa Health Research Institute. Available from: https://data.ahri.org/index.php/catalog/909/
Pillay, D, Koole, O and Wong, E. Vukuzazi Machine Learning Chest X-ray project among individuals aged 15 years and above in rural KwaZulu Natal, South Africa, 2018. [Internet]. Africa Health Research Institute; 2018. Available from: https://data.ahri.org/index.php/catalog/909/
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. [Data Collection]. Africa Health Research Institute. https://data.ahri.org/index.php/catalog/909/
Description
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.
| Data capture method | Unknown |
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| Date (Date published in a 3rd party system) | 5 May 2018 |
| Language(s) of written materials | English |
| Data Creators | Pillay, D, Koole, O and Wong, E |
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| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
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| Date Deposited | 06 Nov 2020 10:08 |
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| Last Modified | 03 May 2023 14:41 |
| Publisher | Africa Health Research Institute |
