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Finite element modelling of cardiac ischemia and data mining application for ischemic detection and localization
Smiljana Đorović, Marko Robnik Šikonja, Miloš D. Radović, Bojana Anđelković Ćirković, Nenad Filipović
Objavljeni znanstveni prispevek na konferenci
Oznake: podatkovno rudarjenje;strojno učenje;metoda končnih elementov;ishemična bolezen srca;data mining;machine learning;finite element modelling;cardiac ischemia;
The main aim of this paper was to computationally simulate the cardiac ischemia employing Finite Element Method (FEM) and detect its presence and localization using data mining approach. A simplified heart-torso model was created based on computed tomography (CT) images, with performed segmentation ...
Leto: 2018 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
ǂA ǂmachine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy
Tim Smole, Bojan Žunkovič, Matej Pičulin, Enja Kokalj, Marko Robnik Šikonja, Matjaž Kukar, Dimitrios I. Fotiadis, Vasileios C. Pezoulas, Nikolaos S. Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S. Maier, Lazar Velicki, Guy A. MacGowan, Iacopo Olivotto, Nenad Filipović, Djordje G. Jakovljević, Zoran Bosnić
Izvirni znanstveni članek
Oznake: hipertrofična kardiomiopatija;napovedovanje rizika;strojno učenje;umetna inteligenca;hypertrophic cardiomyopathy;risk stratification;machine learning;artificial intelligence;
Background: Machine 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 a ...
Leto: 2021 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 2
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