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

Research Letter (12) JMIR Theme Issue: COVID-19 Special Issue (2085) Vaccination and Immunization in the Digital Age (262) Machine Learning (999) Artificial Intelligence (661) Outbreak and Pandemic Preparedness and Management (1451)

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 Kumar 1 Author Orcid Image ;   Jennifer Ren 1 Author Orcid Image ;   Katherine A Ornstein 2, 3 Author Orcid Image ;   Peter M Gliatto 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics
Anish Kumar 1 * , BA ;   Jennifer Ren 1 * , BA ;   Katherine A Ornstein 2, 3 , MPH, PhD ;   Peter M Gliatto 4 , MD

1 Icahn School of Medicine at Mount Sinai , New York , NY , US

2 Institute for Care Innovations at Home , Icahn School of Medicine at Mount Sinai , New York , NY , US

3 Department of Geriatrics and Palliative Medicine , Icahn School of Medicine at Mount Sinai , New York , NY , US

4 Department of Medicine , Icahn School of Medicine at Mount Sinai , New York , NY , US

*these authors contributed equally

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