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Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.
Enshaeifar, Shirin; Zoha, Ahmed; Skillman, Severin; Markides, Andreas; Acton, Sahr Thomas; Elsaleh, Tarek; Kenny, Mark; Rostill, Helen; Nilforooshan, Ramin; Barnaghi, Payam.
Afiliação
  • Enshaeifar S; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Zoha A; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Skillman S; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Markides A; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Acton ST; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Elsaleh T; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
  • Kenny M; Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, Surrey, United Kingdom.
  • Rostill H; Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, Surrey, United Kingdom.
  • Nilforooshan R; Surrey and Borders Partnership NHS Foundation Trust, Leatherhead, Surrey, United Kingdom.
  • Barnaghi P; Department of Electrical and Electronic Engineering, Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Surrey, United Kingdom.
PLoS One ; 14(1): e0209909, 2019.
Article em En | MEDLINE | ID: mdl-30645599
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Urinárias / Atividades Cotidianas / Demência / Aprendizado de Máquina Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: PLoS One Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Urinárias / Atividades Cotidianas / Demência / Aprendizado de Máquina Tipo de estudo: Prognostic_studies País/Região como assunto: Europa Idioma: En Revista: PLoS One Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Reino Unido