Machine learning algorithms for predicting determinants of COVID19 mortality in South Africa
| dc.article.end-page | 9 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.3389/FRAI.2023.1171256 | en |
| dc.contributor.author | E Chimbunde | en |
| dc.contributor.author | L N Sigwadhi | en |
| dc.contributor.author | J L Tamuzi | en |
| dc.contributor.author | E L Okango | en |
| dc.contributor.author | E et al | en |
| dc.contributor.author | Peter Nyasulu | en |
| dc.date.accessioned | 2024-07-23T06:00:45Z | |
| dc.date.available | 2024-07-23T06:00:45Z | |
| dc.faculty | FACULTY OF HEALTH SCIENCES | en |
| dc.identifier.citation | SCOPUS | en |
| dc.identifier.uri | https://hdl.handle.net/10539/39589 | |
| dc.journal.title | Machine learning algorithms for predicting determinants of COVID19 mortality in South Africa | en |
| dc.journal.volume | 6 | en |
| dc.title | Machine learning algorithms for predicting determinants of COVID19 mortality in South Africa | en |
| dc.type | Journal Article | en |
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