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Enhancing the clinical relevance of haemorrhage prediction models in trauma.
Tandle, Sankalp; Wohlgemut, Jared M; Marsden, Max E R; Pisirir, Erhan; Kyrimi, Evangelia; Stoner, Rebecca S; Marsh, William; Perkins, Zane B; Tai, Nigel R M.
Afiliação
  • Tandle S; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK. sankalp.tandle1@nhs.net.
  • Wohlgemut JM; The Royal London Hospital, Barts Health NHS Trust, London, E1 1FR, UK. sankalp.tandle1@nhs.net.
  • Marsden MER; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
  • Pisirir E; The Royal London Hospital, Barts Health NHS Trust, London, E1 1FR, UK.
  • Kyrimi E; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
  • Stoner RS; Academic Department of Military Surgery and Trauma, Research and Clinical Innovation, The Royal Centre for Defence Medicine, Birmingham, B15 2WB, UK.
  • Marsh W; Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
  • Perkins ZB; Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
  • Tai NRM; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, E1 2AT, UK.
Mil Med Res ; 10(1): 43, 2023 09 20.
Article em En | MEDLINE | ID: mdl-37726859
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços Médicos de Emergência Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Serviços Médicos de Emergência Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article