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Artificial intelligence for malaria: Bridging the gap for real world usage

Detalles Bibliográficos
Autores principales: FAN, Bingwen Eugene, CHEN, David Tao Yi, PONNUDURAI, Kuperan, WINKLER, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306021/
https://www.ncbi.nlm.nih.gov/pubmed/37383664
http://dx.doi.org/10.1016/j.lansea.2022.100073
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author FAN, Bingwen Eugene
CHEN, David Tao Yi
PONNUDURAI, Kuperan
WINKLER, Stefan
author_facet FAN, Bingwen Eugene
CHEN, David Tao Yi
PONNUDURAI, Kuperan
WINKLER, Stefan
author_sort FAN, Bingwen Eugene
collection PubMed
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spelling pubmed-103060212023-06-28 Artificial intelligence for malaria: Bridging the gap for real world usage FAN, Bingwen Eugene CHEN, David Tao Yi PONNUDURAI, Kuperan WINKLER, Stefan Lancet Reg Health Southeast Asia Correspondence Elsevier 2022-09-12 /pmc/articles/PMC10306021/ /pubmed/37383664 http://dx.doi.org/10.1016/j.lansea.2022.100073 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Correspondence
FAN, Bingwen Eugene
CHEN, David Tao Yi
PONNUDURAI, Kuperan
WINKLER, Stefan
Artificial intelligence for malaria: Bridging the gap for real world usage
title Artificial intelligence for malaria: Bridging the gap for real world usage
title_full Artificial intelligence for malaria: Bridging the gap for real world usage
title_fullStr Artificial intelligence for malaria: Bridging the gap for real world usage
title_full_unstemmed Artificial intelligence for malaria: Bridging the gap for real world usage
title_short Artificial intelligence for malaria: Bridging the gap for real world usage
title_sort artificial intelligence for malaria: bridging the gap for real world usage
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10306021/
https://www.ncbi.nlm.nih.gov/pubmed/37383664
http://dx.doi.org/10.1016/j.lansea.2022.100073
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