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

Research Letter (37) JMIR Theme Issue: COVID-19 Special Issue (2450) Vaccination and Immunization in the Digital Age (374) Machine Learning (1453) Artificial Intelligence (1353) Outbreak and Pandemic Preparedness and Management (1721)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37744, first published .
Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign

Authors of this article:

Anish Kumar1 Author Orcid Image ;   Jennifer Ren1 Author Orcid Image ;   Katherine A Ornstein2, 3 Author Orcid Image ;   Peter M Gliatto4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Kukafka R, Leung T, Eysenbach G. Brilliant Ideas Can Come in All Sizes: Research Letters. Journal of Medical Internet Research 2022;24(7):e41046 View
  2. Zang S, Zhang X, Xing Y, Chen J, Lin L, Hou Z. Applications of Social Media and Digital Technologies in COVID-19 Vaccination: Scoping Review. Journal of Medical Internet Research 2023;25:e40057 View