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

Non-randomized Protocols and Methods (ehealth) (568)

Published on in Vol 9, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17619, first published .
Using Machine Learning to Optimize the Quality of Survey Data: Protocol for a Use Case in India

Using Machine Learning to Optimize the Quality of Survey Data: Protocol for a Use Case in India

Using Machine Learning to Optimize the Quality of Survey Data: Protocol for a Use Case in India

Authors of this article:

Neha Shah1 Author Orcid Image ;   Diwakar Mohan1 Author Orcid Image ;   Jean Juste Harisson Bashingwa2 Author Orcid Image ;   Osama Ummer3 Author Orcid Image ;   Arpita Chakraborty3 Author Orcid Image ;   Amnesty E. LeFevre1, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (17) Metrics

Neha Shah   1 , MSPH ;   Diwakar Mohan   1 , MBBS, MD, MPH, DrPH ;   Jean Juste Harisson Bashingwa   2 , PhD ;   Osama Ummer   3 , BAMS, MPH ;   Arpita Chakraborty   3 , MPhil, MA ;   Amnesty E. LeFevre   1, 4 , MHS, PhD

1 Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 Faculty of Health Sciences, Department of Integrative Biomedical Sciences, & Member of the Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa

3 Oxford Policy Management, New Delhi, India

4 Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa

Corresponding Author:

  • Neha Shah, MSPH
  • Department of International Health
  • Johns Hopkins Bloomberg School of Public Health
  • 615 N Wolfe St
  • Baltimore, MD, 21205
  • United States
  • Phone: 1 2023400078
  • Email: nshah67@jh.edu