The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review.

Jan, Zainab; Ai-Ansari, Noor; Mousa, Osama; Abd-Alrazaq, Alaa; Ahmed, Arfan; Alam, Tanvir; Househ, Mowafa

Jan, Zainab; Ai-Ansari, Noor; Mousa, Osama; Abd-Alrazaq, Alaa; Ahmed, Arfan; Alam, Tanvir; Househ, Mowafa.

Afiliação

Jan Z; College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
Ai-Ansari N; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
Mousa O; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
Abd-Alrazaq A; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
Ahmed A; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.
Alam T; Department of Psychiatry, Weill Cornell Medicine, Education City, Doha, Qatar.
Househ M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar.

J Med Internet Res ; 23(11): e29749, 2021 11 19.

Article em En | MEDLINE | ID: mdl-34806996

Assuntos

Transtorno Bipolar; Algoritmos; Transtorno Bipolar/diagnóstico; Gerenciamento de Dados; Humanos; Aprendizado de Máquina; Processamento de Linguagem Natural

Palavras-chave

bipolar disorder; clinical data; diagnosis; machine learning; mental health; scoping review; support vector machine

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Transtorno Bipolar Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Qatar

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