Name
Title | ||
|---|---|---|
Binary And Multi-Class Parkinsonian Disorders Classification Using Support Vector Machines |
Abstract | ||
|---|---|---|
This paper presents a method for an automated Parkinsonian disorders classification using Support Vector Machines (SVMs). Magnetic Resonance quantitative markers are used as features to train SVMs with the aim of automatically diagnosing patients with different Parkinsonian disorders. Binary and multi-class classification problems are investigated and applied with the aim of automatically distinguishing the subjects with different forms of disorders. A ranking feature selection method is also used as a preprocessing step in order to asses the significance of the different features in diagnosing Parkinsonian disorders. In particular, it turns out that the features selected as the most meaningful ones reflect the opinions of the clinicians as the most important markers in the diagnosis of these disorders. Concerning the results achieved in the classification phase, they are promising; in the two multi-class classification problems investigated, an average accuracy of 81% and 90% is obtained, while in the binary scenarios taken in consideration, the accuracy is never less than 88%. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19390-8_43 | PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015) |
Keywords | Field | DocType |
Support Vector Machines, Feature selection, Binary classification, Multi class classification, Parkinsonian disorders classification | Feature selection,Ranking,Binary classification,Pattern recognition,Computer science,Support vector machine,Preprocessor,Artificial intelligence,Machine learning,Binary number,Multiclass classification | Conference |
Volume | ISSN | Citations |
9117 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rita Morisi | 1 | 4 | 2.24 |
| Giorgio Gnecco | 2 | 259 | 31.60 |
| Nico Lanconelli | 3 | 8 | 2.96 |
| Stefano Zanigni | 4 | 0 | 0.34 |
| David Neil Manners | 5 | 0 | 0.34 |
| Claudia Testa | 6 | 0 | 0.34 |
| Stefania Evangelisti | 7 | 0 | 0.34 |
| Laura Ludovica Gramegna | 8 | 0 | 0.34 |
| Claudio Bianchini | 9 | 25 | 3.87 |
| P Cortelli | 10 | 3 | 2.41 |
| Caterina Tonon | 11 | 0 | 0.34 |
| Raffaele Lodi | 12 | 0 | 0.34 |