Primary Sclerosing Cholangitis Risk Estimate Tool (PREsTo) Predicts Outcomes in PSC: A Derivation & Validation Study Using Machine Learning

BACKGROUND & AIMS: Improved methods are needed to risk stratify and predict outcomes in patients with primary sclerosing cholangitis (PSC). Therefore, we sought to derive and validate a new prediction model and compare its performance to existing surrogate markers. METHODS: The model was derived...

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Dettagli Bibliografici
Pubblicato in:Hepatology
Autori principali: Eaton, John E., Vesterhus, Mette, McCauley, Bryan M., Atkinson, Elizabeth J., Schlicht, Erik M., Juran, Brian D., Gossard, Andrea A., LaRusso, Nicholas F., Gores, Gregory J., Karlsen, Tom H., Lazaridis, Konstantinos N.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2018
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6226358/
https://ncbi.nlm.nih.gov/pubmed/29742811
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hep.30085
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