A machine learning-based risk stratification model for ventricular tachycardia and heart failure in...
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
About this item
Full title
Author / Creator
Smole, Tim , Žunkovič, Bojan , Pičulin, Matej , Kokalj, Enja , Robnik-Šikonja, Marko , Kukar, Matjaž , Fotiadis, Dimitrios I , Pezoulas, Vasileios C , Tachos, Nikolaos S , Barlocco, Fausto , Mazzarotto, Francesco , Popović, Dejana , Maier, Lars , Velicki, Lazar , MacGowan, Guy A , Olivotto, Iacopo , Filipović, Nenad , Jakovljević, Djordje G and Bosnić, Zoran
Publisher
Oxford: Elsevier Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Elsevier Ltd
Subjects
More information
Scope and Contents
Contents
AbstractBackgroundMachine learning (ML) and artificial intelligence are emerging as important components of precision medicine that enhance diagnosis and risk stratification. Risk stratification tools for hypertrophic cardiomyopathy (HCM) exist, but they are based on traditional statistical methods. The aim was to develop a novel machine learning r...
Alternative Titles
Full title
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
Authors, Artists and Contributors
Author / Creator
Žunkovič, Bojan
Pičulin, Matej
Kokalj, Enja
Robnik-Šikonja, Marko
Kukar, Matjaž
Fotiadis, Dimitrios I
Pezoulas, Vasileios C
Tachos, Nikolaos S
Barlocco, Fausto
Mazzarotto, Francesco
Popović, Dejana
Maier, Lars
Velicki, Lazar
MacGowan, Guy A
Olivotto, Iacopo
Filipović, Nenad
Jakovljević, Djordje G
Bosnić, Zoran
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2553522533
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2553522533
Other Identifiers
ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2021.104648
