Diagnosing Parkinson by using artificial neural networks and support vector machines
(2009) In Global Journal of Computer Science and Technology 9(4). p.63-71- Abstract
- Parkinson\'s Disease (PD) is the second most common neurodegenerative a�iction only surpassed by Alzheimer\'s Disease (AD). Moreover, it is expected to increase in the next decade with accelerating treatment costs as a consequence. This situation leads us towards the need to develop a Decision Support System for PD. In this paper we propose methods based on ANNs and SVMs to aid the specialist in the diagnosis of PD. Data recorded during 195 examinations carried out on 31 patients was used to verify the capacity of the proposed system. The results show a high accuracy of around 90%.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1776690
- author
- Gil, David LU and Johnsson, Magnus LU
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Global Journal of Computer Science and Technology
- volume
- 9
- issue
- 4
- pages
- 63 - 71
- publisher
- Global Journals
- ISSN
- 0975-4172
- language
- English
- LU publication?
- yes
- id
- 79526db0-3232-4786-9672-add324976fd6 (old id 1776690)
- alternative location
- http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.182.7856&rep=rep1&type=pdf
- date added to LUP
- 2016-04-01 12:38:00
- date last changed
- 2018-11-21 20:09:26
@article{79526db0-3232-4786-9672-add324976fd6, abstract = {{Parkinson\'s Disease (PD) is the second most common neurodegenerative a�iction only surpassed by Alzheimer\'s Disease (AD). Moreover, it is expected to increase in the next decade with accelerating treatment costs as a consequence. This situation leads us towards the need to develop a Decision Support System for PD. In this paper we propose methods based on ANNs and SVMs to aid the specialist in the diagnosis of PD. Data recorded during 195 examinations carried out on 31 patients was used to verify the capacity of the proposed system. The results show a high accuracy of around 90%.}}, author = {{Gil, David and Johnsson, Magnus}}, issn = {{0975-4172}}, language = {{eng}}, number = {{4}}, pages = {{63--71}}, publisher = {{Global Journals}}, series = {{Global Journal of Computer Science and Technology}}, title = {{Diagnosing Parkinson by using artificial neural networks and support vector machines}}, url = {{http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.182.7856&rep=rep1&type=pdf}}, volume = {{9}}, year = {{2009}}, }