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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.
Afiliación
  • 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 en En | MEDLINE | ID: mdl-30645599
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Actividades Cotidianas / Demencia / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Actividades Cotidianas / Demencia / Aprendizaje Automático Tipo de estudio: Prognostic_studies Límite: Aged / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos