Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

BACKGROUND: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease that can lead to cirrhosis and hepatic decompensation. However, predicting future outcomes in patients with PSC is challenging. Our aim was to extract magnetic resonance imaging (MRI) features that predict the de...

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Detalles Bibliográficos
Autores principales: Singh, Yashbir, Jons, William A., Eaton, John E., Vesterhus, Mette, Karlsen, Tom, Bjoerk, Ida, Abildgaard, Andreas, Jorgensen, Kristin Kaasen, Folseraas, Trine, Little, Derek, Gulamhusein, Aliya F., Petrovic, Kosta, Negard, Anne, Conte, Gian Marco, Sobek, Joseph D., Jagtap, Jaidip, Venkatesh, Sudhakar K., Gores, Gregory J., LaRusso, Nicholas F., Lazaridis, Konstantinos N., Erickson, Bradley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672219/
https://www.ncbi.nlm.nih.gov/pubmed/36396865
http://dx.doi.org/10.1186/s41747-022-00312-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672219/
https://www.ncbi.nlm.nih.gov/pubmed/36396865
http://dx.doi.org/10.1186/s41747-022-00312-x

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