Applying Neural Network in Classifying Parkinson’s Disease
| Autor: | Yuan-Liang (Tom) Liao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Parkinson's disease
Artificial neural network Computer science business.industry Disease patient Construct (python library) Machine learning computer.software_genre medicine.disease Binary classification Error analysis Linear algebra Decision boundary medicine Artificial intelligence business computer |
| Zdroj: | Journal of Computer and Communications. :19-23 |
| ISSN: | 2327-5227 2327-5219 |
| DOI: | 10.4236/jcc.2020.810003 |
| Popis: | This project uses knowledge of neural network to analyze if the person under study is analyzed to be Parkinson disease patient or not. Binary classification is constructed based on the multi-feature database. A decision boundary is clearly plotted to separate patient with and without Parkinson disease. Results show that over 80% accuracy could be obtained with the preliminary results. Future efforts could be performed to construct more complicated neural network to improve the accuracy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|