Artificial Intelligence May Predict Early Sepsis After Liver Transplantation.

Kamaleswaran, Rishikesan; Sataphaty, Sanjaya K; Mas, Valeria R; Eason, James D; Maluf, Daniel G

Kamaleswaran, Rishikesan; Sataphaty, Sanjaya K; Mas, Valeria R; Eason, James D; Maluf, Daniel G.

Afiliación

Kamaleswaran R; Emory University School of Medicine, Atlanta, GA, United States.
Sataphaty SK; Georgia Institute of Technology, Atlanta, GA, United States.
Mas VR; Sandra Atlas Bass Center for Liver Diseases & Transplantation, Northshore University Hospital, Northwell Health, Manhasset, NY, United States.
Eason JD; University of Maryland School of Medicine, Baltimore, MD, United States.
Maluf DG; Transplant Institute, University of Tennessee, Memphis, TN, United States.

Front Physiol ; 12: 692667, 2021.

Article en En | MEDLINE | ID: mdl-34552499

Palabras clave

artificial intelligence; liver transplant; machine learning; physiological data streams; sepsis; surgery

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Physiol Año: 2021 Tipo del documento: Article

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