Name
Title | ||
|---|---|---|
Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection. |
Abstract | ||
|---|---|---|
•We validate the hypothesis that multiple samples per subject might degrade the accuracy.•To enhance the accuracy, two dimensional data selection approach has been proposed.•The proposed method selects samples and features simultaneously, and outperforms the existing methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.06.052 | Expert Systems with Applications |
Keywords | Field | DocType |
Deep neural network,Feature selection,Hyper-parameters optimization,Parkinson’S disease,Sample selection | Parkinson's disease,Data selection,Feature selection,Ranking,Pattern recognition,Computer science,Artificial intelligence,Statistical model,Machine learning | Journal |
Volume | ISSN | Citations |
137 | 0957-4174 | 2 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liaqat Ali | 1 | 106 | 12.41 |
| Ce Zhu | 2 | 1473 | 117.79 |
| Mingyi Zhou | 3 | 10 | 2.18 |
| Yipeng Liu | 4 | 43 | 5.93 |