Information maximizing component analysis of left ventricular remodeling due to myocardial infarction.

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Title

Information maximizing component analysis of left ventricular remodeling due to myocardial infarction.

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

Although adverse left ventricular shape changes (remodeling) after myocardial infarction (MI) are predictive of morbidity and mortality, current clinical assessment is limited to simple mass and volume measures, or dimension ratios such as length to width ratio. We hypothesized that information maximizing component analysis (IMCA), a supervised feature extraction method, can provide more efficient and sensitive indices of overall remodeling.IMCA was compared to linear discriminant analysis (L...

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Format

Research paper

Research format

Journal article

Date created

2015-11-03

Creator

Zhang, Xingyu / Ambale-Venkatesh, Bharath / Bluemke, David A / Cowan, Brett / Finn, J Paul / Kadish, Alan H / Lee, Daniel C / Lima, Joao AC / Hundley, William G / Suinesiaputra, Avan / Young, Alistair / Medrano Gracia, Pau

URL

http://hdl.handle.net/2292/42839

Related subjects

Heart Ventricles / Humans / Myocardial Infarction / Data Collection / Discriminant Analysis / Models, Statistical / Bayes Theorem / Ventricular Function, Left / Ventricular Remodeling / Algorithms / Principal Component Analysis / Models, Cardiovascular / Adult / Aged / Aged, 80 and over / Middle Aged / Female / Male

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