Open AccessOptimization Framework for Patient-Specific Cardiac Modeling
Author(s) -
Joshua Mineroff,
Andrew D. McCulloch,
David E. Krummen,
Baskar Ganapathysubramanian,
Adarsh Krishnamurthy
Publication year - 2019
Publication title -
cardiovascular engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.541
H-Index - 25
eISSN - 1869-4098
pISSN - 1869-408X
DOI - 10.1007/s13239-019-00428-z
Subject(s) - particle swarm optimization , computer science , process (computing) , software deployment , machine learning , artificial intelligence , data mining , operating system
Patient-specific models of the heart can be used to improve the diagnosis of cardiac diseases, but practical application of these models can be impeded by the computational costs and numerical uncertainties of fitting mechanistic models to clinical measurements from individual patients. Reliable and efficient tuning of these models within clinically appropriate error bounds is a requirement for practical deployment in the time-constrained environment of the clinic.