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

Proposals (eHealth) (72) Machine Learning (1373) Artificial Intelligence (1189) Perinatal Education for Parents (208)

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

Authors of this article:

Rahul Shrivastava1 Author Orcid Image ;   Manmohan Singhal1 Author Orcid Image ;   Mansi Gupta2 Author Orcid Image ;   Ashish Joshi3 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics

Journals

  1. Tan Yip Ming C, Rojas-Carabali W, Cifuentes-González C, Agrawal R, Thorne J, Tugal-Tutkun I, Nguyen Q, Gupta V, de-la-Torre A, Agrawal R. The Potential Role of Large Language Models in Uveitis Care: Perspectives After ChatGPT and Bard Launch. Ocular Immunology and Inflammation 2023:1 View