Unsupervised Time-Series Clustering of Left Atrial Strain for Cardiovascular Risk Assessment-Reference-Cited by-同舟云学术

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Unsupervised Time-Series Clustering of Left Atrial Strain for Cardiovascular Risk Assessment

Published:2023-07 Issue:7 Volume:36 Page:778-787
ISSN:0894-7317
Container-title:Journal of the American Society of Echocardiography
language:en
Short-container-title:Journal of the American Society of Echocardiography

Author:

Ntalianis Evangelos,Sabovčik František,Cauwenberghs Nicholas,Kouznetsov Dmitry,Daels Yne,Claus Piet,Kuznetsova Tatiana

Funder

KU Leuven

Fonds Wetenschappelijk Onderzoek

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference32 articles.

1. Global burden of cardiovascular diseases and risk factors, 1990-2019: update from the GBD 2019 study;Roth;J Am Coll Cardiol,2020

2. Left atrial strain predicts incident atrial fibrillation in the general population: the Copenhagen City Heart Study;Hauser;Eur Heart J Cardiovasc Imaging,2022

3. Left ventricular strain and strain rate in a general population;Kuznetsova;Eur Heart J,2008

4. Prognostic implications of left ventricular strain by speckle-tracking echocardiography in the general population: a meta-analysis;Al Saikhan;Vasc Health Risk Manag,2019

5. Unsupervised learning for automated detection of coronary artery disease subgroups;Flores;J Am Heart Assoc,2021

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1. A hybrid unsupervised clustering method for predicting the risk of dental implant loss;Journal of Dentistry;2024-10

2. Myocardial Strain Imaging;JACC: Cardiovascular Imaging;2024-09

3. Left atrial diastasis strain slope is a marker of hemodynamic recovery in post-ST elevation myocardial infarction: the Laser Atherectomy for STemi, Pci Analysis with Scintigraphy Study (LAST-PASS);Frontiers in Radiology;2024-02-21

4. Feature-based clustering of the left ventricular strain curve for cardiovascular risk stratification in the general population;Frontiers in Cardiovascular Medicine;2023-11-30

5. Integrative Interpretation of Cardiopulmonary Exercise Tests for Cardiovascular Outcome Prediction: A Machine Learning Approach;Diagnostics;2023-06-13

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