Safety and Effectiveness of Oral Anticoagulants in Atrial Fibrillation: Real-World Insights Using Natural Language Processing and Machine Learning

This article belongs to the Special Issue Atrial Fibrillation and Its Complications: Preventive Strategies and Relative Evidence

Bibliographic Details
Authors:	Cosín-Sales, Juan, Anguita Sánchez, Manuel, Suárez, Carmen, Arias-Cabrales, Carlos, Martínez Sanchez, Luisa, Savana Research Group, Arumi, Daniel, Fernández de Cabo, Susana
Format:	article
Publication Date:	2024
Country:	España
Institution:	Universidad Autónoma de Madrid
Repository:	Biblos-e Archivo. Repositorio Institucional de la UAM
Language:	English
OAI Identifier:	oai:dnet:biblosearchi::783c399b24ef8b2121707041dc4e2620
Online Access:	https://hdl.handle.net/10486/760822 https://dx.doi.org/10.3390/jcm13206226
Access Level:	Open access
Keyword:	atrial fibrillation oral anticoagulation direct oral anticoagulants vitamin K antagonist natural language processing and machine learning Medicina

Description
Summary:	This article belongs to the Special Issue Atrial Fibrillation and Its Complications: Preventive Strategies and Relative Evidence