Deep machine learning model trade-offs for malaria elimination in resource-constrained locations

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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