Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

BACKGROUND: Despite the growth in mobile technologies (mHealth) to support Community Health Worker (CHW) supervision, the nature of mHealth-facilitated supervision remains underexplored. One strategy to support supervision at scale could be artificial intelligence (AI) modalities, including machine...

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Detalles Bibliográficos
Autores principales: O’Donovan, James, Kahn, Ken, MacRae, MacKenzie, Namanda, Allan Saul, Hamala, Rebecca, Kabali, Ken, Geniets, Anne, Lakati, Alice, Mbae, Simon M., Winters, Niall
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925202/
https://www.ncbi.nlm.nih.gov/pubmed/35292073
http://dx.doi.org/10.1186/s12960-021-00699-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925202/
https://www.ncbi.nlm.nih.gov/pubmed/35292073
http://dx.doi.org/10.1186/s12960-021-00699-5

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