Title | ||
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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 | ||
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•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 Araki | 1 | 45 | 7.72 |
Nobutaka Ikeda | 2 | 32 | 4.32 |
Devarshi Shukla | 3 | 17 | 1.56 |
Pankaj K. Jain | 4 | 7 | 0.96 |
Narendra D. Londhe | 5 | 98 | 13.85 |
Vimal K. Shrivastava | 6 | 61 | 6.71 |
Sumit K. Banchhor | 7 | 28 | 4.19 |
Luca Saba | 8 | 202 | 24.44 |
Andrew Nicolaides | 9 | 155 | 14.75 |
Shoaib Shafique | 10 | 51 | 4.46 |
John R. Laird | 11 | 26 | 4.87 |
Jasjit S. Suri | 12 | 1754 | 128.89 |