Hybrid Predictive Model on Detection of Neurodegenerative Disorder Using Machine Learning Classification Algorithms
  • Author(s): Oguoma Ikechukwu Stanley ; Agbakwuru A.O ; Amanze B.C
  • Paper ID: 1707314
  • Page: 772-777
  • Published Date: 28-02-2025
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 8 Issue 8 February-2025
Abstract

The aim of this paper is to design a Hybrid Predictive Model on Detection of Neurodegenerative Disorder using Machine Learning Classification Algorithms, with major focus on Parkinson disease while the objectives is to ensure that the developed model can detect a patients speech movement pattern, speech motor speed and suggest major causes of the disease. The motivation towards this study is based on accuracy on Parkinson disease prediction by including more variables involving patient’s family history, blood test and protein level so as to improve on the existing dataset used by (Yan et al., 2020). The study employed three machine learning classification algorithm methods which include: Support Vector Machine, Neural Network and Decision Tree algorithms. The data was analyzed with R and JASP while the experiments are done on the dataset which contains (Patients Medical History, Laboratory Tests, Imaging Studies, body movement, speech timing, and family health history, antiparkinson medication sourced from UCI and Kaggle machine learning repository. The result after the experiment shows that the use of a hybrid approach involving three classification algorithms in health related data prediction to develop a model called (Ogu-Ikem-Neurodegenerative-Parkinson-Model) is one of the best and more accurate method suitable for data prediction and hence has more percentage acceptance level when it comes to health issues, therefore it could be adopted for future use by medical practitioners to make decision on the subject matter.

Keywords

Artificial Intelligence, Machine Learning, Health Science, Classification Model, Parkinson disease prediction, health diagnosis and prediction of neurodegenerative disorder, Hybrid Predictive Model on neurodegenerative disorder.

Citations

IRE Journals:
Oguoma Ikechukwu Stanley , Agbakwuru A.O , Amanze B.C "Hybrid Predictive Model on Detection of Neurodegenerative Disorder Using Machine Learning Classification Algorithms" Iconic Research And Engineering Journals Volume 8 Issue 8 2025 Page 772-777

IEEE:
Oguoma Ikechukwu Stanley , Agbakwuru A.O , Amanze B.C "Hybrid Predictive Model on Detection of Neurodegenerative Disorder Using Machine Learning Classification Algorithms" Iconic Research And Engineering Journals, 8(8)