Deploying machine learning with messy, real world data in low- and middle-income countries: Developing a global health use case

The rapid emergence of machine learning in the form of large-scale computational statistics and accumulation of data offers global health implementing partners an opportunity to adopt, adapt, and apply these techniques and technologies to low- and middle-income country (LMIC) contexts where we work....

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Detalles Bibliográficos
Autores principales: Finnegan, Amy, Potenziani, David D., Karutu, Caroline, Wanyana, Irene, Matsiko, Nicholas, Elahi, Cyrus, Mijumbi, Nobert, Stanley, Richard, Vota, Wayan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363768/
https://www.ncbi.nlm.nih.gov/pubmed/35968403
http://dx.doi.org/10.3389/fdata.2022.553673

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363768/
https://www.ncbi.nlm.nih.gov/pubmed/35968403
http://dx.doi.org/10.3389/fdata.2022.553673

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