Name
Title | ||
|---|---|---|
Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach |
Abstract | ||
|---|---|---|
•Automated classification of normal and CAD classes.•A new work-related coronary artery disease (CAD) data set.•Proposed a novel heterogeneous hybrid feature selection (2HFS) algorithm to pre-process the CAD data.•Work place, environmental and clinical features are used.•Obtained maximum performance using various data sets. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.patrec.2020.02.010 | Pattern Recognition Letters |
Keywords | DocType | Volume |
Machine learning,Data mining,Heart disease,Coronary artery disease,Feature selection | Journal | 133 |
ISSN | Citations | PageRank |
0167-8655 | 2 | 0.36 |
References | Authors | |
26 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elham Nasarian | 1 | 2 | 0.36 |
| Moloud Abdar | 2 | 123 | 14.65 |
| Mohammad Amin Fahami | 3 | 2 | 0.36 |
| Roohallah Alizadehsani | 4 | 111 | 9.60 |
| Sadiq Hussain | 5 | 14 | 3.20 |
| Mohammad Ehsan Basiri | 6 | 261 | 13.71 |
| Mariam Zomorodi Moghadam | 7 | 25 | 4.65 |
| Xujuan Zhou | 8 | 165 | 19.22 |
| Pawel Plawiak | 9 | 99 | 8.84 |
| Rajendra Acharya U | 10 | 4666 | 296.34 |
| Ru-San Tan | 11 | 239 | 22.37 |
| Nizal Sarrafzadegan | 12 | 2 | 0.69 |