Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation-Reference-Cited by-同舟云学术

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation

Published:2022-11 Issue: Volume:150 Page:106126
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Lu Juan,Hutchens Rebecca,Hung Joseph,Bennamoun Mohammed,McQuillan Brendan,Briffa Tom,Sohel Ferdous^ORCID,Murray Kevin^ORCID,Stewart Jonathon,Chow Benjamin,Sanfilippo Frank^ORCID,Dwivedi Girish^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference41 articles.

1. ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS);Hindricks;Eur. Heart J.,2020

2. Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation;Hart;Ann. Intern. Med.,2007

3. Use of the CHA2DS2-VASc and HAS-BLED Scores to Aid Decision Making for Thromboprophylaxis in Nonvalvular Atrial Fibrillation. doi:10.1161/CIRCULATIONAHA.111.060061.

4. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation;Lip;Chest,2010

5. A new risk scheme to predict warfarin-associated hemorrhage: the AnTicoagulation and risk factors in atrial fibrillation (ATRIA) study;Fang;J. Am. Coll. Cardiol.,2011

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