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Automatic Detection of Cardiac Remodeling using Global and Local Clinical Measures and Random Forest Classification
Jan Ehrhardt
, Matthias Wilms,
Heinz Handels
, Dennis Säring
Institute of Medical Informatics
University Hospital Hamburg-Eppendorf
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Computer Science
Random Decision Forest
100%
Automatic Detection
100%
Motion Characteristic
100%
classification approach
50%
classification result
50%
Statistical Shape Modeling
50%
Software Development Tool
50%
Model Resolution
50%
Medicine and Dentistry
Heart Ventricle Remodeling
100%
Endocardium
33%
Ejection Fraction
33%
Contractile Function
33%
Cross-Validation
33%
Myocardial Infarction
33%
Deterioration
33%
End-Systolic Volume
33%
Immunology and Microbiology
Random Forest
100%
Motion
100%
Dilatation
50%
Endocardium
50%
Biochemistry, Genetics and Molecular Biology
Motion
100%
Random Forest
100%
Dilatation
50%
Pharmacology, Toxicology and Pharmaceutical Science
Deterioration
50%
Heart Infarction
50%
Cross-Validation
50%