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Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022).
Xu, Shuting; Deo, Ravinesh C; Soar, Jeffrey; Barua, Prabal Datta; Faust, Oliver; Homaira, Nusrat; Jaffe, Adam; Kabir, Arm Luthful; Acharya, U Rajendra.
Afiliação
  • Xu S; School of Mathematics Physics and Computing, University of Southern Queensland, Springfield Central, QLD 4300, Australia; Cogninet Australia, Sydney, NSW 2010, Australia.
  • Deo RC; School of Mathematics Physics and Computing, University of Southern Queensland, Springfield Central, QLD 4300, Australia.
  • Soar J; School of Business, University of Southern Queensland, Australia.
  • Barua PD; Cogninet Australia, Sydney, NSW 2010, Australia; School of Business, University of Southern Queensland, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia; Australian International Institute of Higher Education, Sydney, NSW 2000
  • Faust O; School of Computing and Information Science, Anglia Ruskin University Cambridge Campus, UK.
  • Homaira N; School of Clinical Medicine, University of New South Wales, Australia; Sydney Children's Hospital, Sydney, Australia; James P. Grant School of Public Health, Dhaka, Bangladesh.
  • Jaffe A; School of Clinical Medicine, University of New South Wales, Australia; Sydney Children's Hospital, Sydney, Australia.
  • Kabir AL; Ad-din Women's Medical College, Dhaka, Bangladesh.
  • Acharya UR; School of Mathematics Physics and Computing, University of Southern Queensland, Springfield Central, QLD 4300, Australia; School of Science and Technology, Kumamoto University, Japan.
Comput Methods Programs Biomed ; 241: 107746, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37660550
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Doença Pulmonar Obstrutiva Crônica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Doença Pulmonar Obstrutiva Crônica Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Austrália