Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa
| dc.article.end-page | 9 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.3390/IJERPH22030345 | en |
| dc.contributor.author | U Tokac | en |
| dc.contributor.author | J Chipps | en |
| dc.contributor.author | P Brysiewicz | en |
| dc.contributor.author | J Bruce | en |
| dc.contributor.author | Damian Clarke | en |
| dc.date.accessioned | 2025-11-12T11:49:12Z | |
| dc.faculty | FACULTY OF HEALTH SCIENCES | en |
| dc.identifier.citation | SCOPUS | en |
| dc.identifier.issn | 16617827 | en |
| dc.identifier.uri | https://hdl.handle.net/10539/47547 | |
| dc.journal.title | Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa | en |
| dc.journal.volume | 22 | en |
| dc.title | Using Machine Learning to Improve Readmission Risk in Surgical Patients in South Africa | en |
| dc.type | Journal Article | en |
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