Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis

Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis

Our study aims to develop an effective integrated machine learning (ML) scheme to predict vascular events and bleeding in patients with nonvalvular atrial fibrillation taking dabigatran and identify important risk factors. This study is a post-hoc analysis from the Randomized Evaluation of Long-Term...

Full description

Bibliographic Details
Main Authors: Yung-Chuan Huang, Yu-Chen Cheng, Mao-Jhen Jhou, Mingchih Chen, Chi-Jie Lu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Personalized Medicine
Subjects:
arrhythmia
cardioembolic stroke
non-vitamin K antagonist oral anticoagulants
dabigatran
machine learning
Online Access:https://www.mdpi.com/2075-4426/12/5/756

Similar Items

Similar Items