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

Research Letter (38) JMIR Theme Issue: COVID-19 Special Issue (2458) Vaccination and Immunization in the Digital Age (378) Machine Learning (1491) Artificial Intelligence (1409) Outbreak and Pandemic Preparedness and Management (1740)

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

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, United States

2 Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States

3 Institute for Care Innovations at Home, Icahn School of Medicine at Mount Sinai, New York, NY, United States

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

*these authors contributed equally

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