Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35452, first published .
Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design

Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design

Development of an Artificial Intelligence–Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design

Rahul Shrivastava   1 * , BDS, MPH ;   Manmohan Singhal   1 * , MPharma, PhD ;   Mansi Gupta   2 * , BPT, PGDHA, MSW ;   Ashish Joshi   3 * , MBBS, MPH, PhD

1 School of Pharmaceutical and Population Health Informatics, Faculty of Pharmacy, DIT University, Dehradun, India

2 Foundation of Healthcare Technologies Society, New Delhi, India

3 School of Public Health, University of Memphis, Memphis, TN, United States

*all authors contributed equally

Corresponding Author:

  • Rahul Shrivastava, BDS, MPH
  • School of Pharmaceutical and Population Health Informatics
  • Faculty of Pharmacy
  • DIT University
  • Mussoorie, Diversion Road
  • Makka Wala
  • Dehradun, 248009
  • India
  • Phone: 91 9926405906
  • Email: rahul.shrivastavamph14@gmail.com