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Timeline
X Demographics
Mendeley readers
| Title |
Machine learning algorithms for predicting determinants of COVID-19 mortality in South Africa
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, October 2023
|
| DOI | 10.3389/frai.2023.1171256 |
| Pubmed ID | |
| Authors |
Emmanuel Chimbunde, Lovemore N. Sigwadhi, Jacques L. Tamuzi, Elphas L. Okango, Olawande Daramola, Veranyuy D. Ngah, Peter S. Nyasulu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Professor | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Researcher | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 10 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 20% |
| Agricultural and Biological Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 10 | 67% |