Updating and recalibrating causal probabilistic models on a new target population.

Kyrimi, Evangelia; Stoner, Rebecca S; Perkins, Zane B; Pisirir, Erhan; Wohlgemut, Jared M; Marsh, William; Tai, Nigel R M

Kyrimi, Evangelia; Stoner, Rebecca S; Perkins, Zane B; Pisirir, Erhan; Wohlgemut, Jared M; Marsh, William; Tai, Nigel R M.

Afiliação

Kyrimi E; Department of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom. Electronic address: https://twitter.com/@LinaKyrimi.
Stoner RS; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, United Kingdom; Royal London Hospital, Barts Health NHS Trust, London, United Kingdom.
Perkins ZB; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, United Kingdom; Royal London Hospital, Barts Health NHS Trust, London, United Kingdom.
Pisirir E; Department of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom.
Wohlgemut JM; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, United Kingdom; Royal London Hospital, Barts Health NHS Trust, London, United Kingdom.
Marsh W; Department of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom.
Tai NRM; Centre for Trauma Sciences, Blizard Institute, Queen Mary University of London, London, United Kingdom; Royal London Hospital, Barts Health NHS Trust, London, United Kingdom; Royal Centre for Defence Medicine, Birmingham, United Kingdom.

J Biomed Inform ; 149: 104572, 2024 Jan.

Article em En | MEDLINE | ID: mdl-38081566

Assuntos

Modelos Estatísticos; Humanos; Teorema de Bayes

Palavras-chave

Bayesian networks; Parameter learning; Probabilistic modelling; Recalibration; Transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article

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