Cargando…
Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328783/ https://www.ncbi.nlm.nih.gov/pubmed/35679053 http://dx.doi.org/10.2196/37744 |
_version_ | 1784757793926938624 |
---|---|
author | Kumar, Anish Ren, Jennifer Ornstein, Katherine A Gliatto, Peter M |
author_facet | Kumar, Anish Ren, Jennifer Ornstein, Katherine A Gliatto, Peter M |
author_sort | Kumar, Anish |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9328783 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-93287832022-07-28 Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign Kumar, Anish Ren, Jennifer Ornstein, Katherine A Gliatto, Peter M J Med Internet Res Research Letter JMIR Publications 2022-07-12 /pmc/articles/PMC9328783/ /pubmed/35679053 http://dx.doi.org/10.2196/37744 Text en ©Anish Kumar, Jennifer Ren, Katherine A Ornstein, Peter M Gliatto. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 12.07.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Research Letter Kumar, Anish Ren, Jennifer Ornstein, Katherine A Gliatto, Peter M Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title | Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title_full | Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title_fullStr | Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title_full_unstemmed | Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title_short | Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real-time Immunization Campaign |
title_sort | using machine learning to efficiently vaccinate homebound patients against covid-19: a real-time immunization campaign |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328783/ https://www.ncbi.nlm.nih.gov/pubmed/35679053 http://dx.doi.org/10.2196/37744 |
work_keys_str_mv | AT kumaranish usingmachinelearningtoefficientlyvaccinatehomeboundpatientsagainstcovid19arealtimeimmunizationcampaign AT renjennifer usingmachinelearningtoefficientlyvaccinatehomeboundpatientsagainstcovid19arealtimeimmunizationcampaign AT ornsteinkatherinea usingmachinelearningtoefficientlyvaccinatehomeboundpatientsagainstcovid19arealtimeimmunizationcampaign AT gliattopeterm usingmachinelearningtoefficientlyvaccinatehomeboundpatientsagainstcovid19arealtimeimmunizationcampaign |