Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health

INTRODUCTION: Meeting ambitious global health goals with limited resources requires a precision public health (PxPH) approach. Here we describe how integrating data collection optimisation, traditional analytics and causal artificial intelligence/machine learning (ML) can be used in a use case for i...

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Detalles Bibliográficos
Autores principales: Huang, Vincent S, Morris, Kasey, Jain, Mokshada, Ramesh, Banadakoppa Manjappa, Kemp, Hannah, Blanchard, James, Isac, Shajy, Sarkar, Bidyut, Gothalwal, Vikas, Namasivayam, Vasanthakumar, Kumar, Pankaj, Sgaier, Sema K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542627/
https://www.ncbi.nlm.nih.gov/pubmed/33028696
http://dx.doi.org/10.1136/bmjgh-2020-002340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542627/
https://www.ncbi.nlm.nih.gov/pubmed/33028696
http://dx.doi.org/10.1136/bmjgh-2020-002340

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