Using a Cloud-Based Machine Learning Classification Tree Analysis to Understand the Demographic Characteristics Associated With COVID-19 Booster Vaccination Among Adults in the United States | Zendy

Lu Meng | Zendy; Hannah E. Fast | Zendy; Ryan Saelee | Zendy; Elizabeth R. Zell | Zendy; Bhavini Patel Murthy | Zendy; Neil Murthy | Zendy; Peng-Jun Lu | Zendy; Lauren Shaw | Zendy; LaTreace Harris | Zendy; Lynn GibbsScharf | Zendy; Terence Chorba | Zendy

Open Access

Using a Cloud-Based Machine Learning Classification Tree Analysis to Understand the Demographic Characteristics Associated With COVID-19 Booster Vaccination Among Adults in the United States

Author(s) -

Lu Meng,

Hannah E. Fast,

Ryan Saelee,

Elizabeth R. Zell,

Bhavini Patel Murthy,

Neil Murthy,

Peng-Jun Lu,

Lauren Shaw,

LaTreace Harris,

Lynn GibbsScharf,

Terence Chorba

Publication year - 2022

Publication title -

open forum infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.546

H-Index - 35

ISSN - 2328-8957

DOI - 10.1093/ofid/ofac446

Subject(s) - outreach , medicine , booster (rocketry) , vaccination , covid-19 , ethnic group , gerontology , demographics , public health , family medicine , demography , virology , infectious disease (medical specialty) , nursing , disease , economic growth , economics , physics , pathology , astronomy , sociology , anthropology

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