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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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| Pubblicato in: | Hepatology |
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| Autori principali: | , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| 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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