Bayesian networks and imaging-derived phenotypes highlight the role of fat deposition in COVID-19 hospitalisation risk.

Waddell, T; Namburete, A I L; Duckworth, P; Eichert, N; Thomaides-Brears, H; Cuthbertson, D J; Despres, J P; Brady, M

Waddell, T; Namburete, A I L; Duckworth, P; Eichert, N; Thomaides-Brears, H; Cuthbertson, D J; Despres, J P; Brady, M.

Afiliação

Waddell T; Department of Engineering Science, The University of Oxford, Oxford, United Kingdom.
Namburete AIL; Perspectum Ltd., Oxford, United Kingdom.
Duckworth P; Department of Computer Science, University of Oxford, Oxford, United Kingdom.
Eichert N; Oxford Robotics Institute, The University of Oxford, Oxford, United Kingdom.
Thomaides-Brears H; Perspectum Ltd., Oxford, United Kingdom.
Cuthbertson DJ; Perspectum Ltd., Oxford, United Kingdom.
Despres JP; Department of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom.
Brady M; Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.

Front Bioinform ; 3: 1163430, 2023.

Article em En | MEDLINE | ID: mdl-37293292

Palavras-chave

Bayesian networks; COVID-19; ectopic fat; hospitalisation; probabilistic reasoning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Bioinform Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Suíça

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