Improving Parkinson's disease identification through evolutionary-based feature selection

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 7857-7860

  Spadoto, André A ^a   Guido, Rodrigo C ^a   Carnevali, Felipe L ^b   Pagnin, Andre F ^d   Falcão, Alexandre X ^c   Papa, João P ^d  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

^d SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC IDENTIFICATION; PARKINSON'S DISEASE; POSSIBLE SOLUTIONS; TRAINING PHASE;

AUTOMATION; NEURODEGENERATIVE DISEASES;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; HUMAN; PARKINSON DISEASE;

ALGORITHMS; HUMANS; PARKINSON DISEASE;

EID: 84861670566     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091936     Document Type: Conference Paper

References (14)

1. M. Navío, J. J. Aguilera, M. J. del Jesus, R. González, Francisco Herrera, and C. Iríbar, "Feature selection algorithms applied to parkinson's disease," in Proceedings of the Second International Symposium on Medical Data Analysis, London, UK, 2001, ISMDA '01, pp. 195-200, Springer-Verlag.
2. M. A. Little, P. E. McSharry, E. J. Hunter, J. Spielman, and L. O. Ramig, "Suitability of dysphonia measurements for telemonitoring of parkinson's disease," IEEE Transactions on Biomedical Engineering, vol. 56, no. 4, pp. 1015-1022, 2009.
3. K. Revett, F. Gorunescu, and A.-B. M. Salem, "Feature selection in parkinson's disease: A rough sets approach," in Proceedings of the International Multiconference on Computer Science and Information Technology, Mragowo, Poland, 2009, pp. 425-428.
4. P.-F. Guo, P. Bhattacharya, and N. Kharma, "Advances in detecting parkinsons disease," Medical Biometrics, vol. 6165/2010, pp. 306-314, 2010.
5. A. A. Spadotto, J. P. Papa R. C. Guido, and A. X. Falcão, ," in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 2010, pp. 6087-6090.
6. J. P. Papa, A. X. Falcão, and Celso T. N. Suzuki, "Supervised pattern classification based on optimum-path forest," International Journal of Imaging Systems and Technology, vol. 19, no. 2, pp. 120-131, 2009.
7. J. Kennedy and R.C. Eberhart, Swarm Intelligence, M. Kaufman, 2001.
8. Z. W. Geem, Music-Inspired Harmony Search Algorithm: Theory and Applications, Springer Publishing Company, Incorporated, 1st edition, 2009.
9. Esmat Rashedi, Hossein Nezamabadi-pour, and Saeid Saryazdi, "Gsa: A gravitational search algorithm," Information Sciences, vol. 179, no. 13, pp. 2232-2248, 2009.
10. C. C. O Ramos, J. P. Papa, A. N. Souza, and A. X. Falcão, "What is the importance of selecting features for non-technical losses identification?," in Proceedings of the IEEE International Symposium on Circuits and Systems, Rio de Janeiro, Brazil, 2011, (accepted for publication).
11. C. C. O Ramos, A. N. Souza, and J. P. Papa, "New insights on nontechnical losses characterization through evolutionary-based feature selection," in IEEE Transactions on Power Delivery, 2011, submitted.
12. Esmat Rashedi, Hossein Nezamabadi-pour, and Saeid Saryazdi, "Bgsa: binary gravitational search algorithm," Natural Computing, vol. 9, pp. 727-745, 2010.
13. J. P. Papa, A. F. Pagnin, S. A. Schellini, A. A. Spadotto, R. C. Guido, M. P. Ponti Jr., G. Chiachia, and A. X. Falcão, "Feature selection through gravitational search algorithm," in Proceedings of the 36th International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic, 2011, (accepted for publication).
14. C. A. R. Hoare, "Quicksort," The Computer Journal, vol. 5, no. 1, pp. 10-15, 1962.