The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis.

Al-Hussain, Ghada; Shuweihdi, Farag; Alali, Haitham; Househ, Mowafa; Abd-Alrazaq, Alaa

Al-Hussain, Ghada; Shuweihdi, Farag; Alali, Haitham; Househ, Mowafa; Abd-Alrazaq, Alaa.

Afiliação

Al-Hussain G; Department of Unified Health Record, Lean for Business Services, Riyadh, Saudi Arabia.
Shuweihdi F; Leeds Institute of Health Sciences, School of Medicine, University of Leads, Leeds, United Kingdom.
Alali H; Health Management Department, Faculty of Medical and Health Sciences, Liwa College of Technology, Abu Dhabi, United Arab Emirates.
Househ M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Abd-Alrazaq A; AI Center for Precision Health, Weill Cornell Medicine, Doha, Qatar.

J Med Internet Res ; 24(10): e38472, 2022 10 14.

Article em En | MEDLINE | ID: mdl-36239999

Assuntos

Aprendizado de Máquina Supervisionado; Distúrbios da Voz; Algoritmos; Humanos; Aprendizado de Máquina; Distúrbios da Voz/diagnóstico

Palavras-chave

diagnose; machine learning; meta-analysis; mobile phone; screening; systematic review; voice disorders

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Distúrbios da Voz / Aprendizado de Máquina Supervisionado Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Arábia Saudita

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