Machine learning approach and geospatial analysis to determine HIV infection awareness status and transmission knowledge among adults in SubSaharan Africa
| dc.article.end-page | 9 | en |
| dc.article.start-page | 1 | en |
| dc.citation.doi | 10.1186/S13104-024-07053-7 | en |
| dc.contributor.author | A Endawkie | en |
| dc.contributor.author | B. A Miheretu | en |
| dc.contributor.author | Anteneh Yalew | en |
| dc.contributor.author | P Nyasulu | en |
| dc.contributor.author | G Worku | en |
| dc.contributor.author | A Asaminew | en |
| dc.contributor.author | B. A Hailu | en |
| dc.date.accessioned | 2025-03-07T07:18:40Z | |
| dc.faculty | FACULTY OF HEALTH SCIENCES | en |
| dc.identifier.citation | SCOPUS | en |
| dc.identifier.uri | https://hdl.handle.net/10539/44126 | |
| dc.journal.title | Machine learning approach and geospatial analysis to determine HIV infection awareness status and transmission knowledge among adults in SubSaharan Africa | en |
| dc.journal.volume | 17 | en |
| dc.title | Machine learning approach and geospatial analysis to determine HIV infection awareness status and transmission knowledge among adults in SubSaharan Africa | en |
| dc.type | Journal Article | en |
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