Editorial: Non-linear analysis and machine learning in cardiology

Front Physiol. 2023 Apr 14:14:1183149. doi: 10.3389/fphys.2023.1183149. eCollection 2023.

Hans Dierckx^{1

2}, Xiaopeng Zhao³, Elena G Tolkacheva^{4

5

6}

¹ Department of Mathematics, KU Leuven Campus Kortrijk (KULAK), Kortrijk, Belgium.
² iSi Health - KU Leuven Institute of Physics-based Modeling for in silico Health, Leuven, Belgium.
³ Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, Knoxville, TN, United States.
⁴ Biomedical Engineering Department, University of Minnesota, Minneapolis, MN, United States.
⁵ Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN, United States.
⁶ Lillehei Heart Institute, University of Minnesota, Minneapolis, MN, United States.

No abstract available

Keywords: ML; cardiology (basic/technical); data analysis; machine learning; multiscale modeling and analysis; non-linear analysis methodologies.

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