Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017.

Huang, Ming; Zolnoori, Maryam; Balls-Berry, Joyce E; Brockman, Tabetha A; Patten, Christi A; Yao, Lixia

Huang, Ming; Zolnoori, Maryam; Balls-Berry, Joyce E; Brockman, Tabetha A; Patten, Christi A; Yao, Lixia.

Afiliação

Huang M; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
Zolnoori M; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
Balls-Berry JE; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
Brockman TA; Center for Clinical and Translational Science, Commuity Engagement Program, Mayo Clinic, Rochester, MN, United States.
Patten CA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States.
Yao L; Center for Clinical and Translational Science, Commuity Engagement Program, Mayo Clinic, Rochester, MN, United States.

J Med Internet Res ; 21(4): e13316, 2019 04 30.

Article em En | MEDLINE | ID: mdl-31038462

Assuntos

Mineração de Dados/métodos; Gerenciamento Clínico; História do Século XX; História do Século XXI; Humanos; Invenções; Tecnologia; Estados Unidos

Palavras-chave

disease; dynamic topic model; patent; public health index; research opportunity index; research priority; resource allocation; technological innovation; text mining; topic modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gerenciamento Clínico / Mineração de Dados Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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