Machine learning and physical based modeling for cardiac hypertrophy

Machine learning and physical based modeling for cardiac hypertrophy

Background and objective: Predicting the long-term expansion and remodeling of the left ventricle in patients is challenging task but it has the potential to be clinically very useful. Methods: In our study, we present machine learning models based on random forests, gradient boosting, and neural ne...

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Bibliographic Details
Main Authors: Bogdan Milićević, Miljan Milošević, Vladimir Simić, Andrej Preveden, Lazar Velicki, Đorđe Jakovljević, Zoran Bosnić, Matej Pičulin, Bojan Žunkovič, Miloš Kojić, Nenad Filipović
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Heliyon
Subjects:
Finite element analysis
Machine learning
Left ventricle mode
Cardiac hypertrophy
Disease progress tracking
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023039312

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