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Condition: Atrial Fibrillation
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Total 198 results found since Jan 2013.
Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning
AMIA Annu Symp Proc. 2021 Jan 25;2020:1431-1440. eCollection 2020.ABSTRACTIn this paper, we developed a personalized anticoagulant treatment recommendation model for atrial fibrillation (AF) patients based on reinforcement learning (RL) and evaluated the effectiveness of the model in terms of short-term and long-term outcomes. The data used in our work were baseline and follow-up data of 8,540 AF patients with high risk of stroke, enrolled in the Chinese Atrial Fibrillation Registry (CAFR) study during 2011 to 2018. We found that in 64.98% of patient visits, the anticoagulant treatment recommended by the RL model were conc...
Source: AMIA Annual Symposium Proceedings - May 3, 2021 Category: Bioinformatics Authors: Lei Zuo Xin Du Wei Zhao Chao Jiang Shijun Xia Liu He Rong Liu Ribo Tang Rong Bai Jianzeng Dong Xingzhi Sun Gang Hu Guotong Xie Changsheng Ma Source Type: research
A Practical Guide to Setting up an ICM Service: Improving Detection of Atrial Fibrillation After Cryptogenic Stroke With Implantable Cardiac Monitors (ICMs)
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Chapter 1: Making the case for change
Chapter 2: Engaging the right stakeholders to set up the service
Chapter 3: Developing th...
Source: Radcliffe Cardiology - March 24, 2021 Category: Cardiology Authors: c242508f1d9059bc0f2aa9bdd5421ba2 Source Type: research
Relation of Atrial Fibrillation to Cognitive Decline (from the REasons for Geographic and Racial Differences in Stroke REGARDS Study)
The association of atrial fibrillation (AF) with cognitive function remains unclear, especially among racially/geographically diverse populations. This analysis included 25,980 black and white adults, aged 48+, from the national REasons for Geographic and Racial Differences in Stroke (REGARDS) cohort, free from cognitive impairment and stroke at baseline. Baseline AF was identified by self-reported medical history or electrocardiogram (ECG). Cognitive testing was conducted yearly with the Six Item Screener (SIS) to define impairment and at 2-year intervals to assess decline on: animal naming and letter fluency, Montreal Co...
Source: The American Journal of Cardiology - March 5, 2021 Category: Cardiology Authors: Margie J. Bailey, Elsayed Z. Soliman, Leslie A. McClure, George Howard, Virginia J. Howard, Suzanne E. Judd, Fred Unverzagt, Virginia Wadley, Bonnie C. Sachs, Timothy Hughes Source Type: research
Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation Events
ConclusionVisualizing and quantifying irregular irregularities will be of value for both rapid visual inspection of long Holter recordings for the presence and the burden of AF, and for machine learning classification to identify AF episodes. A free online tool for calculating the indices, drawing RGGs and estimating AF burden, is available.
Source: Frontiers in Physiology - February 18, 2021 Category: Physiology Source Type: research
