Name
Title | ||
|---|---|---|
An efficient diagnosis system for detection of Parkinson's disease using fuzzy k-nearest neighbor approach |
Abstract | ||
|---|---|---|
In this paper, we present an effective and efficient diagnosis system using fuzzy k-nearest neighbor (FKNN) for Parkinson's disease (PD) diagnosis. The proposed FKNN-based system is compared with the support vector machines (SVM) based approaches. In order to further improve the diagnosis accuracy for detection of PD, the principle component analysis was employed to construct the most discriminative new feature sets on which the optimal FKNN model was constructed. The effectiveness of the proposed system has been rigorously estimated on a PD data set in terms of classification accuracy, sensitivity, specificity and the area under the receiver operating characteristic (ROC) curve (AUC). Experimental results have demonstrated that the FKNN-based system greatly outperforms SVM-based approaches and other methods in the literature. The best classification accuracy (96.07%) obtained by the FKNN-based system using a 10-fold cross validation method can ensure a reliable diagnostic model for detection of PD. Promisingly, the proposed system might serve as a new candidate of powerful tools for diagnosing PD with excellent performance. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.eswa.2012.07.014 | Expert Syst. Appl. |
Keywords | Field | DocType |
efficient diagnosis system,diagnosis accuracy,proposed fknn-based system,discriminative new feature set,classification accuracy,diagnosing pd,proposed system,fuzzy k-nearest neighbor approach,best classification accuracy,pd data,fknn-based system,medical diagnosis,support vector machine,feature extraction | Data mining,Receiver operating characteristic,Computer science,Artificial intelligence,Discriminative model,Pattern recognition,Fuzzy logic,Support vector machine,Feature extraction,Cross-validation,Machine learning,Medical diagnosis,Principal component analysis | Journal |
Volume | Issue | ISSN |
40 | 1 | 0957-4174 |
Citations | PageRank | References |
52 | 2.15 | 30 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui-Ling Chen | 1 | 184 | 9.24 |
| Changcheng Huang | 2 | 734 | 79.69 |
| Xin-Gang Yu | 3 | 52 | 3.16 |
| Xin Xu | 4 | 1365 | 100.22 |
| Xin Sun | 5 | 277 | 17.12 |
| Gang Wang | 6 | 223 | 13.31 |
| Sujing Wang | 7 | 690 | 37.65 |