Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid.

Yang, Yuan-Chi; Al-Garadi, Mohammed Ali; Bremer, Whitney; Zhu, Jane M; Grande, David; Sarker, Abeed

Yang, Yuan-Chi; Al-Garadi, Mohammed Ali; Bremer, Whitney; Zhu, Jane M; Grande, David; Sarker, Abeed.

Afiliação

Yang YC; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Al-Garadi MA; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Bremer W; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Zhu JM; Division of General Internal Medicine and Geriatrics, Oregon Health & Science University, Portland, OR, United States.
Grande D; Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Sarker A; Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.

J Med Internet Res ; 23(5): e26616, 2021 05 03.

Article em En | MEDLINE | ID: mdl-33938807

Assuntos

Mídias Sociais; Teorema de Bayes; Serviços de Saúde; Humanos; Medicaid; Processamento de Linguagem Natural; Estados Unidos

Palavras-chave

Medicaid; Twitter; consumer feedback; infodemiology; infoveillance; machine learning; natural language processing; social media

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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