Prognosis and Survival Modelling in Cirrhosis Using Parenclitic Networks.

Zhang, Han; Oyelade, Tope; Moore, Kevin P; Montagnese, Sara; Mani, Ali R

Zhang, Han; Oyelade, Tope; Moore, Kevin P; Montagnese, Sara; Mani, Ali R.

Afiliación

Zhang H; Network Physiology Laboratory, Division of Medicine, University College London, London, United Kingdom.
Oyelade T; Network Physiology Laboratory, Division of Medicine, University College London, London, United Kingdom.
Moore KP; Institute for Liver and Digestive Health, Division of Medicine, University College London, London, United Kingdom.
Montagnese S; Institute for Liver and Digestive Health, Division of Medicine, University College London, London, United Kingdom.
Mani AR; Department of Medicine, University of Padova, Padova, Italy.

Front Netw Physiol ; 2: 833119, 2022.

Article en En | MEDLINE | ID: mdl-36926100

Palabras clave

MELD; cirrhosis; network physiology; parenclitic; prognosis; survival

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_cirrhosis Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Netw Physiol Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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