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

Kumar, Anish; Ren, Jennifer; Ornstein, Katherine A; Gliatto, Peter M.

Kumar A; Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Ren J; Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Ornstein KA; Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Gliatto PM; Institute for Care Innovations at Home, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

J Med Internet Res ; 24(7): e37744, 2022 07 12.

Article in English | MEDLINE | ID: covidwho-1892532

Subject(s)

COVID-19; COVID-19/prevention & control; Humans; Immunization; Machine Learning; Vaccination

Keywords

COVID-19; clustering algorithm; covid; digital surveillance; electronic health record integration; geographic cluster; geospatial; home care; logistic operation; machine learning; patient data; public health; vaccination; vaccine

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Topics: Vaccines Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2022 Document Type: Article Affiliation country: 37744

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