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Bayesian networks may allow better performance and usability than logistic regression.
Wohlgemut, Jared M; Pisirir, Erhan; Stoner, Rebecca S; Kyrimi, Evangelia; Yet, Barbaros; Marsh, William; Perkins, Zane B; Tai, Nigel R M.
Afiliación
  • Wohlgemut JM; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK. j.m.wohlgemut@qmul.ac.uk.
  • Pisirir E; Machine Intelligence and Decision Support (MInDS) Research Group, School of Electronic Engineering and Computer Science, Digital Environment Research Institute, Queen Mary University of London, London, UK.
  • Stoner RS; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.
  • Kyrimi E; Machine Intelligence and Decision Support (MInDS) Research Group, School of Electronic Engineering and Computer Science, Digital Environment Research Institute, Queen Mary University of London, London, UK.
  • Yet B; Department of Cognitive Science, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
  • Marsh W; Machine Intelligence and Decision Support (MInDS) Research Group, School of Electronic Engineering and Computer Science, Digital Environment Research Institute, Queen Mary University of London, London, UK.
  • Perkins ZB; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.
  • Tai NRM; Royal London Hospital, Barts NHS Health Trust, London, UK.
Crit Care ; 28(1): 234, 2024 Jul 11.
Article en En | MEDLINE | ID: mdl-38992714

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Teorema de Bayes Límite: Humans Idioma: En Revista: Crit Care Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Teorema de Bayes Límite: Humans Idioma: En Revista: Crit Care Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: ENGLAND / ESCOCIA / GB / GREAT BRITAIN / INGLATERRA / REINO UNIDO / SCOTLAND / UK / UNITED KINGDOM