Literature DB >> 33476206

Learning for Prevention of Sudden Cardiac Death.

Natalia A Trayanova1.   

Abstract

Entities:  

Keywords:  Editorials; action potentials; arrhythmias, cardiac; death, sudden; machine learning

Mesh：

Year:  2021        PMID： 33476206      PMCID： PMC7831613          DOI： 10.1161/CIRCRESAHA.120.318576

Source DB:  PubMed          Journal:  Circ Res        ISSN： 0009-7330            Impact factor:   17.367


× No keyword cloud information.
  15 in total

Review 1.  Sudden Cardiac Death Substrate Imaged by Magnetic Resonance Imaging: From Investigational Tool to Clinical Applications.

Authors:  Katherine C Wu
Journal:  Circ Cardiovasc Imaging       Date:  2017-07       Impact factor: 7.792

2.  ACCF/HRS/AHA/ASE/HFSA/SCAI/SCCT/SCMR 2013 appropriate use criteria for implantable cardioverter-defibrillators and cardiac resynchronization therapy: a report of the American College of Cardiology Foundation appropriate use criteria task force, Heart Rhythm Society, American Heart Association, American Society of Echocardiography, Heart Failure Society of America, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance.

Authors:  Andrea M Russo; Raymond F Stainback; Steven R Bailey; Andrew E Epstein; Paul A Heidenreich; Mariell Jessup; Suraj Kapa; Mark S Kremers; Bruce D Lindsay; Lynne Warner Stevenson
Journal:  J Am Coll Cardiol       Date:  2013-03-01       Impact factor: 24.094

3.  Public health burden of sudden cardiac death in the United States.

Authors:  Eric C Stecker; Kyndaron Reinier; Eloi Marijon; Kumar Narayanan; Carmen Teodorescu; Audrey Uy-Evanado; Karen Gunson; Jonathan Jui; Sumeet S Chugh
Journal:  Circ Arrhythm Electrophysiol       Date:  2014-03-07

4.  Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium enhancement cardiac MRI.

Authors:  D Alis; A Guler; M Yergin; O Asmakutlu
Journal:  Diagn Interv Imaging       Date:  2019-11-11       Impact factor: 4.026

5.  Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction.

Authors:  André Schmidt; Clerio F Azevedo; Alan Cheng; Sandeep N Gupta; David A Bluemke; Thomas K Foo; Gary Gerstenblith; Robert G Weiss; Eduardo Marbán; Gordon F Tomaselli; João A C Lima; Katherine C Wu
Journal:  Circulation       Date:  2007-03-26       Impact factor: 29.690

6.  Sudden cardiac death prediction and prevention: report from a National Heart, Lung, and Blood Institute and Heart Rhythm Society Workshop.

Authors:  Glenn I Fishman; Sumeet S Chugh; John P Dimarco; Christine M Albert; Mark E Anderson; Robert O Bonow; Alfred E Buxton; Peng-Sheng Chen; Mark Estes; Xavier Jouven; Raymond Kwong; David A Lathrop; Alice M Mascette; Jeanne M Nerbonne; Brian O'Rourke; Richard L Page; Dan M Roden; David S Rosenbaum; Nona Sotoodehnia; Natalia A Trayanova; Zhi-Jie Zheng
Journal:  Circulation       Date:  2010-11-30       Impact factor: 29.690

7.  Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model).

Authors:  Moumita Bhattacharya; Dai-Yin Lu; Shibani M Kudchadkar; Gabriela Villarreal Greenland; Prasanth Lingamaneni; Celia P Corona-Villalobos; Yufan Guan; Joseph E Marine; Jeffrey E Olgin; Stefan Zimmerman; Theodore P Abraham; Hagit Shatkay; Maria Roselle Abraham
Journal:  Am J Cardiol       Date:  2019-02-27       Impact factor: 2.778

8.  Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients With Ischemic Cardiomyopathy.

Authors:  David R Okada; Jason Miller; Jonathan Chrispin; Adityo Prakosa; Natalia Trayanova; Steven Jones; Mauro Maggioni; Katherine C Wu
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-03-18

9.  Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.

Authors:  Albert J Rogers; Anojan Selvalingam; Mahmood I Alhusseini; David E Krummen; Cesare Corrado; Firas Abuzaid; Tina Baykaner; Christian Meyer; Paul Clopton; Wayne Giles; Peter Bailis; Steven Niederer; Paul J Wang; Wouter-Jan Rappel; Matei Zaharia; Sanjiv M Narayan
Journal:  Circ Res       Date:  2020-11-10       Impact factor: 17.367

10.  Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation.

Authors:  Toshio Tsuji; Tomonori Nobukawa; Akihisa Mito; Harutoyo Hirano; Zu Soh; Ryota Inokuchi; Etsunori Fujita; Yumi Ogura; Shigehiko Kaneko; Ryuji Nakamura; Noboru Saeki; Masashi Kawamoto; Masao Yoshizumi
Journal:  Sci Rep       Date:  2020-07-20       Impact factor: 4.379
View more
  1 in total

Review 1.  Minor perturbations of thyroid homeostasis and major cardiovascular endpoints-Physiological mechanisms and clinical evidence.

Authors:  Patrick Müller; Melvin Khee-Shing Leow; Johannes W Dietrich
Journal:  Front Cardiovasc Med       Date:  2022-08-15
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.