Attribute Optimization: Genetic Algorithms and Neural Network for Voice Analysis Classification of Parkinson's Disease

Yudi Ramadhani, Ade Mubarok, Syarif Hidayatullah, Wildan Wiguna

2018

Abstract

The Parkinson's disease is a degenerative disorder of the central nervous system that causes disturbances in the motor system, leading to impaired balance. Machine learning and data mining is able to detect this disorder in Parkinson's disease. Reviewing the phenomenon, the study aims to examine the genetic algorithm for feature selection and neural network algorithms for the classification of Parkinson's disease. Parkinson's diagnosis used a promising learning machine to be the solution as an early stage classification of Parkinson's disease. The research findings are submitted that in each calcification method through learning machine will get some obstacle in analyse medical data. One of the usual constraints on the neural network classification algorithm when the features contained in the dataset are not relevant to the classification. To reduce the irrelevant features used genetic algorithm selection feature to improve data analysis performance in better classification.

Paper Citation

in Harvard Style

Ramadhani Y., Mubarok A., Hidayatullah S. and Wiguna W. (2018). Attribute Optimization: Genetic Algorithms and Neural Network for Voice Analysis Classification of Parkinson's Disease.In Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI, ISBN 978-989-758-458-9, pages 3074-3079. DOI: 10.5220/0009947030743079

in Bibtex Style

@conference{icri18,
author={Yudi Ramadhani and Ade Mubarok and Syarif Hidayatullah and Wildan Wiguna},
title={Attribute Optimization: Genetic Algorithms and Neural Network for Voice Analysis Classification of Parkinson's Disease},
booktitle={Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI,},
year={2018},
pages={3074-3079},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009947030743079},
isbn={978-989-758-458-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI,
TI - Attribute Optimization: Genetic Algorithms and Neural Network for Voice Analysis Classification of Parkinson's Disease
SN - 978-989-758-458-9
AU - Ramadhani Y.
AU - Mubarok A.
AU - Hidayatullah S.
AU - Wiguna W.
PY - 2018
SP - 3074
EP - 3079
DO - 10.5220/0009947030743079