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Connected Health Conference 2017 (113) CHC17: Artificial intelligence, voice technology and virtual reality (5)

Published on in Vol 3, No 1 (2017): CHC Issue

JMIR Publications logo: Advancing Digital Health & Open Science

Using Predictive Analytics to Prevent Missed Opportunities and Achieve Higher Immunization Coverage and Timeliness

Using Predictive Analytics to Prevent Missed Opportunities and Achieve Higher Immunization Coverage and Timeliness

Authors of this article:

Subhash Chandir1, 2 Author Orcid Image ;   Danya Arif Siddiqi3 ;   Mubarak Taighoon Shah1 ;   Vijay Kumar Dharma3 ;   Aamir Javed Khan3
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Nantongo B, Nabukenya J, Nabende P, Kamulegeya J. A retrospective cohort study on predicting infants at a risk of defaulting routine immunization in Uganda using machine learning models. JAMIA Open 2024;7(4) View
  2. Nantongo B, Nabukenya J, Nabende P. Predicting Measles Vaccination Defaulting in Uganda and Kenya: Comparative Evaluation of Custom Soft Voting and TabNet Stacked Ensemble Architectures. JMIR AI 2026;5:e95727 View