Neuro Genetic Disorder’s: Epilepsy and Huntington’s Disease

R. Yamini, Zahid Amin Wani, Arham Chowdary

2025

Abstract

Neurogenetic diseases like Huntington's disease (HD) and epilepsy are debilitating conditions that significantly impact the quality of life of patients. Huntington's disease (HD) is a genetic neurodegenerative disease characterized by motor disability and cognitive and psychiatric symptoms, whereas epilepsy is a chronic neurologic disorder that is defined by recurrent seizures. This paper aims to investigate the genetic mechanisms involved in both of these conditions and evaluate how these levels can assist HD and epilepsy diagnosis and progression prediction in terms of efficiency of prescription levels using a variety of different data mining algorithms. In this paper we present a combined computational model of feature selection algorithms Information Gain (IG), Correlation Feature Subset (CFS), Gain Ratio (GR), and machine learning classifiers, Support Vector Machines (SVM), Random Forest (RF), Gradient Boost. The study results revealed that the features selection minimizes the classification accuracy of algorithms and the maximum accuracy achieved to be 94.7% with SVM using CFS. The findings prophesy the capabilities of computational resources to facilitate early diagnosis and provide drugs treatment specific to HD and epilepsy.

Paper Citation

in Harvard Style

Yamini R., Wani Z. and Chowdary A. (2025). Neuro Genetic Disorder’s: Epilepsy and Huntington’s Disease. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 138-143. DOI: 10.5220/0013924000004919

in Bibtex Style

@conference{icrdicct`2525,
author={R. Yamini and Zahid Wani and Arham Chowdary},
title={Neuro Genetic Disorder’s: Epilepsy and Huntington’s Disease},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={138-143},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013924000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Neuro Genetic Disorder’s: Epilepsy and Huntington’s Disease
SN - 978-989-758-777-1
AU - Yamini R.
AU - Wani Z.
AU - Chowdary A.
PY - 2025
SP - 138
EP - 143
DO - 10.5220/0013924000004919
PB - SciTePress