Deep machine learning model trade-offs for malaria elimination in resource-constrained locations
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Eze, PU and Asogwa, Clement ORCID: 0000-0001-8454-9356 (2021) Deep machine learning model trade-offs for malaria elimination in resource-constrained locations. Bioengineering, 8 (11). ISSN 2306-5354
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/43723 |
DOI | 10.3390/bioengineering8110150 |
Official URL | https://www.mdpi.com/2306-5354/8/11/150 |
Subjects | Current > FOR (2020) Classification > 4003 Biomedical engineering Current > FOR (2020) Classification > 4602 Artificial intelligence Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > College of Science and Engineering |
Keywords | malaria detection, healthcare systems, computational optimisation |
Citations in Scopus | 5 - View on Scopus |
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