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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.
Bishop, Jennifer A; Javed, Hamza A; El-Bouri, Rasheed; Zhu, Tingting; Taylor, Thomas; Peto, Tim; Watkinson, Peter; Eyre, David W; Clifton, David A.
Afiliación
  • Bishop JA; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Javed HA; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • El-Bouri R; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Zhu T; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Taylor T; Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Peto T; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Watkinson P; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Eyre DW; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
  • Clifton DA; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
PLoS One ; 16(11): e0260476, 2021.
Article en En | MEDLINE | ID: mdl-34813632
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Alta del Paciente / Aprendizaje Automático / Atención al Paciente / SARS-CoV-2 / COVID-19 / Administración Hospitalaria / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Alta del Paciente / Aprendizaje Automático / Atención al Paciente / SARS-CoV-2 / COVID-19 / Administración Hospitalaria / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido