Analysis of COVID-19 cases and comorbidities using machine learning algorithms: A case study of the Limpopo Province, South Africa-Reference-Cited by-同舟云学术

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Analysis of COVID-19 cases and comorbidities using machine learning algorithms: A case study of the Limpopo Province, South Africa

Published:2023-09 Issue: Volume:21 Page:e01840
ISSN:2468-2276
Container-title:Scientific African
language:en
Short-container-title:Scientific African

Author:

Boateng Alexander^ORCID,Maposa Daniel^ORCID,Mokobane Reshoketswe^ORCID,Darikwa Timotheus^ORCID,Gyamfi Charles

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference20 articles.

1. Demographics, comorbidities, and outcomes among young and middle-aged COVID-19 patients in Saudi Arabia;Alali;Saudi Pharmaceut. J.,2021

2. Bansal, A., Padappayil, R.P., Garg, C., Singal, A., Gupta, M., & Klein, A. (2020). Bansal-2020-utility of artificial intelligence. pdf.

3. Machine learning in medicine;Deo;Circulation,2015

4. Comparing rapid scoring systems in mortality prediction of critically ill patients with novel coronavirus disease;Hu;Acad. Emerg. Med.,2020

5. Artificial intelligence in healthcare: past, present and future;Jiang;Stroke Vascular Neurol.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Retrospective Post-Hospitalisation COVID-19 Mortality Risk Assessment of Patients in South Africa;European Journal of Investigation in Health, Psychology and Education;2023-09-01

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