Feature selection in Parkinson's disease: A rough sets approach

Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT '09

Volumn 4, Issue , 2009, Pages 425-428

  Revett, Kenneth ^a   Gorunescu, Florin ^b   Mohamed Salem, Abdel Badeeh ^c  

^a UNIVERSITY OF WESTMINSTER   (United Kingdom)

^b UNIVERSITY OF CRAIOVA   (Romania)

^c Ain Shams University   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

BASAL GANGLIA; BRADYKINESIA; CLINICAL STUDY; DIAGNOSTIC MEASURES; FEATURE SELECTION; FEATURE SETS; FEATURE VECTORS; NEURODEGENERATION; NEURODEGENERATIVE DISORDERS; PARKINSON'S DISEASE; ROUGH SET; SET OF RULES; TIME COURSE; VOICE PRODUCTION;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DECISION SUPPORT SYSTEMS; DECISION THEORY; DISEASES; FEATURE EXTRACTION; INFORMATION TECHNOLOGY; ROUGH SET THEORY; TEACHING;

DIAGNOSIS;

EID: 77954636754     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IMCSIT.2009.5352688     Document Type: Conference Paper

References (10)

1. Little, M. A., McSharry, P. E., Hunter, E. J., Spielman, J., & Ramig, L. O., Suitability of dysphoria measurements for telemonitoring of Parkinson's disease, IEEE Transactions on Biomedical Engineering, 56(4), pp. 1015-1022, 2009.
2. Alonso, J. B., de Leon, J., Alonso, I., & Ferrer, M. A., Automatic detection of pathologies in the voice by HOS based parameters, EURASIP Journal of Applied Signal processing, 14, pp. 275-284, 2001.
3. Cnockaert, L., Schoentgen, J., Auzou, P., Ozsancak, C., De-febvre, L., & Grenez, F., Low-frequency vocal modulations in vowels produced by Parkinsonian subjects, Speech Communications, 50, pp. 288-300, 2008.
4. Dejonckere, P. H., Bradley, P., Clemente, P., Cornut, G., Crevier-Buchman, L., Friedrich, G., Van de Heyning, P., Remacle, M., & Woisard, V., A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques, Arch Otorhinolargygol, 258, pp. 77-82, 2001.
5. Rahn m, D. A., Chou, M., Jiang, J. J., & Zhang, Y., Phona-tory impairment in Parkinson's disease: evidence for nonlinear dynamic analysis and pertubation analysis, Journal of Voice, 21(1), pp. 64-71, 2007.
6. Rao, S. S., Hofmann, L. A., & Shakil, A., Parkinson's disease: diagnosis and treatment, American family Physician, 74(12), pp. 2046-2054, 2006.
7. Ene, M., Neural network-based approach to discriminate healthy people from those with Parkinson's disease, Annals of the University of Craiova, Math Computer Science Series, 35, pp. 112-116, 2008.
8. Pawlak, Z. Rough Sets, International Journal of Computer and Information Sciences, 11, pp. 341-356 (1982).
9. Wroblewski, J.: Theoretical Foundations of Order-Based Genetic Algorithms. Fundamenta Informaticae 28(3-4) (1996) pp. 423-430.
10. Komorowski, J., Pawlak, Z., Polkowski, L., Skowron, A.: Rough sets: A tutorial. In: S.K. Pal, A. Skowron (eds): Rough Fuzzy Hybridization - A New Trend in Decision Making. Springer Verlag pp. 3-98, 1999.