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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...
שמור ב:
| הוצא לאור ב: | Eur Heart J Cardiovasc Pharmacother |
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| Main Authors: | , , , , , , , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Oxford University Press
2019
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| נושאים: | |
| 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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