Emergence and evolution of big data science in HIV research: Bibliometric analysis of federally sponsored studies 2000-2019.

Liang, Chen; Qiao, Shan; Olatosi, Bankole; Lyu, Tianchu; Li, Xiaoming

Liang, Chen; Qiao, Shan; Olatosi, Bankole; Lyu, Tianchu; Li, Xiaoming.

Afiliação

Liang C; Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. Electronic address: cliang@mailbox.sc.edu.
Qiao S; Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Olatosi B; Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Lyu T; Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Li X; Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Int J Med Inform ; 154: 104558, 2021 10.

Article em En | MEDLINE | ID: mdl-34481301

Assuntos

Síndrome da Imunodeficiência Adquirida; Ciência de Dados; Síndrome da Imunodeficiência Adquirida/epidemiologia; Bibliometria; Big Data; Humanos; National Institutes of Health (U.S.); Estados Unidos

Palavras-chave

AIDS; Bibliometrics; Big data; Data mining; Electronic health records; HIV; PLWH

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 Base de dados: MEDLINE Assunto principal: Síndrome da Imunodeficiência Adquirida / Ciência de Dados Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Int J Med Inform Ano de publicação: 2021 Tipo de documento: Article

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