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Frontiers in Physiology
(Apr 2023)
Editorial: Non-linear analysis and machine learning in cardiology
Hans Dierckx,
Hans Dierckx,
Xiaopeng Zhao,
Elena G. Tolkacheva,
Elena G. Tolkacheva,
Elena G. Tolkacheva
Affiliations
Hans Dierckx
Department of Mathematics, KU Leuven Campus Kortrijk (KULAK), Kortrijk, Belgium
Hans Dierckx
iSi Health - KU Leuven Institute of Physics-based Modeling for in silico Health, Leuven, Belgium
Xiaopeng Zhao
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, United States
Elena G. Tolkacheva
Biomedical Engineering Department, University of Minnesota, Minneapolis, MN, United States
Elena G. Tolkacheva
Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, United States
Elena G. Tolkacheva
Lillehei Heart Institute, University of Minnesota, Minneapolis, MN, United States
DOI
https://doi.org/10.3389/fphys.2023.1183149
Journal volume & issue
Vol. 14
Abstract
Read online
No abstracts available.
Keywords
cardiology (basic/technical)
machine learning
ML
data analysis
non-linear analysis methodologies
multiscale modeling and analysis
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