Diagnosing Parkinson by using artificial neural networks and support vector machines
Year: 2009
Type: article
Abstract: - Parkinson's Disease (PD) is the second most common neurodegenerative aiction 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%. Key words: Parkinson diagnosis, Parkinson, mental disorder, expert systems in medicine, artificial intelligence in medicine, artificial neural networks, support vector machines. P I.
Authors: David Gil, Magnus Johnsson
Institution: University of Alicante
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W1777502006