New artificial intelligence prediction model using serial prothrombin time international normalized ratio measurements in atrial fibrillation patients on vitamin K antagonists: GARFIELD-AF

AIMS: Most clinical risk stratification models are based on measurement at a single time-point rather than serial measurements. Artificial intelligence (AI) is able to predict one-dimensional outcomes from multi-dimensional datasets. Using data from Global Anticoagulant Registry in the Field (GARFIE...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Eur Heart J Cardiovasc Pharmacother
Main Authors: Goto, Shinichi, Goto, Shinya, Pieper, Karen S, Bassand, Jean-Pierre, Camm, Alan John, Fitzmaurice, David A, Goldhaber, Samuel Z, Haas, Sylvia, Parkhomenko, Alexander, Oto, Ali, Misselwitz, Frank, Turpie, Alexander G G, Verheugt, Freek W A, Fox, Keith A A, Gersh, Bernard J, Kakkar, Ajay K
פורמט: Artigo
שפה:Inglês
יצא לאור: Oxford University Press 2019
נושאים:
Original Articles
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC7556811/
https://ncbi.nlm.nih.gov/pubmed/31821482
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ehjcvp/pvz076
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