This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (350) Big Data (143) Machine Learning (771) Mobile Health and Apps for Maternal and Child Health (81)

Published on in Vol 8, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11456, first published .
Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol

Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol

Use of Big Data and Machine Learning Methods in the Monitoring and Evaluation of Digital Health Programs in India: An Exploratory Protocol

Authors of this article:

Diwakar Mohan 1 Author Orcid Image ;   Jean Juste Harrisson Bashingwa 2 Author Orcid Image ;   Pierre Dane 3 Author Orcid Image ;   Sara Chamberlain 4 Author Orcid Image ;   Nicki Tiffin 2, 5 Author Orcid Image ;   Amnesty Lefevre 1, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

Journals

  1. Shah N, Mohan D, Bashingwa J, Ummer O, Chakraborty A, LeFevre A. Using Machine Learning to Optimize the Quality of Survey Data: Protocol for a Use Case in India. JMIR Research Protocols 2020;9(8):e17619 View
  2. Oprescu A, Miro-Amarante G, Garcia-Diaz L, Beltran L, Rey V, Romero-Ternero M. Artificial Intelligence in Pregnancy: A Scoping Review. IEEE Access 2020;8:181450 View
  3. Bashingwa J, Mohan D, Chamberlain S, Arora S, Mendiratta J, Rahul S, Chauhan V, Scott K, Shah N, Ummer O, Ved R, Mulder N, LeFevre A. Assessing exposure to Kilkari: a big data analysis of a large maternal mobile messaging service across 13 states in India. BMJ Global Health 2021;6(Suppl 5):e005213 View