Title
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.
Abstract
•Coronary artery disease risk assessment in intravascular ultrasound.•A link between carotid and coronary grayscale plaque morphology.•Principal component analysis (PCA) for dominant feature selection.•Classification accuracy of 98.43% and reliability index of 97.32%.
Year
DOI
Venue
2016
10.1016/j.cmpb.2016.02.004
Computer Methods and Programs in Biomedicine
Keywords
DocType
Volume
Coronary artery,IVUS,Carotid IMT,Machine learning,PCA,Risk assessment
Journal
128
ISSN
Citations 
PageRank 
0169-2607
7
0.62
References 
Authors
10
12
Name
Order
Citations
PageRank
Tadashi Araki1457.72
Nobutaka Ikeda2324.32
Devarshi Shukla3171.56
Pankaj K. Jain470.96
Narendra D. Londhe59813.85
Vimal K. Shrivastava6616.71
Sumit K. Banchhor7284.19
Luca Saba820224.44
Andrew Nicolaides915514.75
Shoaib Shafique10514.46
John R. Laird11264.87
Jasjit S. Suri121754128.89