Efficient Feature Selection and Hyperparameter Tuning for Improved Speech Signal-Based Parkinson’s Disease Diagnosis via Machine Learning Techniques
Parkinson’s disease (PD) is a neurodegenerative disorder that progressively worsens with age, particularly affecting the elderly. Symptoms of PD include visual hallucinations, depression, autonomic dysfunction, and motor difficulties. Conventional diagnostic methods often rely on subjective interpr...
Saved in:
Main Authors: | Deepak Painuli, Suyash Bhardwaj, Utku Kose |
---|---|
Format: | Article |
Language: | English |
Published: |
Tehran University of Medical Sciences
2025-01-01
|
Series: | Health Technology Assessment in Action |
Subjects: | |
Online Access: | https://htainaction.tums.ac.ir/index.php/hta/article/view/275 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effects of exercise training on the nigrostriatal glutamatergic pathway and receptor interactions in Parkinson’s disease: a systematic review
by: Shahid Ishaq, et al.
Published: (2025-02-01) -
Genetic screening of South African families with Parkinson’s disease
by: S Bardien, et al.
Published: (2024-02-01) -
Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features
by: Samuel, Kakuba, et al.
Published: (2023) -
A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
by: Geetanjali Dei, et al.
Published: (2025-02-01) -
Advances in hydrogel for diagnosis and treatment for Parkinson’s disease
by: Peining Zhu, et al.
Published: (2025-02-01)