Accessibility settings

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

Applications of AI (1082) Clinical Information and Decision Making (3878) Public (e)Health, Digital Epidemiology and Public Health Informatics (2378) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (1002) Vaccination and Immunization in the Digital Age (517) Artificial Intelligence (4985)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95727, first published .
Nurse checks sleeping baby while mother watches; rural African village setting.

Predicting Measles Vaccination Defaulting in Uganda and Kenya: Comparative Evaluation of Custom Soft Voting and TabNet Stacked Ensemble Architectures

Predicting Measles Vaccination Defaulting in Uganda and Kenya: Comparative Evaluation of Custom Soft Voting and TabNet Stacked Ensemble Architectures

Authors of this article:

Bartha Alexandra Nantongo1, 2 Author Orcid Image ;   Josephine Nabukenya2 Author Orcid Image ;   Peter Nabende2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .