A comparative study: prediction of parkinson's disease using machine learning, deep learning and nature inspired algorithm

PK Keserwani, S Das, N Sarkar - Multimedia Tools and Applications, 2024 - Springer
Parkinson's Disease (PD) is a degenerative and progressive neurological disorder worsens
over time. This disease initially affects people over 55 years old. Patients with PD often …

A Hybrid Machine Learning Framework to Improve Parkinson's Disease Prediction Accuracy

R Bediya, RN Ravikumar, K Mishra… - 2023 6th …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is one of the second most prevalent neurodegenerative ailment
worldwide, behind Alzheimer's disease, according to the World Health Organization (WHO) …

Integrated Feature Extraction and Classification Framework for Early Diagnosis of Parkinson's Disease: A Neural Network Perspective

V Yogalakshmi, MM Ibrahim… - 2024 10th …, 2024 - ieeexplore.ieee.org
This paper evaluates the effectiveness of conventional and nonstandard measures in
distinguishing among healthy people and those with Parkinson's disease (PD) based totally …

OTOMATİK PARKİNSON HASTALIĞI TEŞHİSİ: BİR ÖZELLİK SEÇİMİ YAKLAŞIMI

S Çimen, B Bolat - Mühendislik Bilimleri ve Tasarım Dergisi, 2024 - dergipark.org.tr
Parkinson's disease is one of the neurodegenerative disorders that significantly affect
human health. Patients experience various negative effects such as tremors, walking …

[HTML][HTML] Towards Early Intervention: Detecting Parkinson's Disease through Voice Analysis with Machine Learning

KP Swain, SR Samal, V Ravi… - The Open …, 2024 - openbiomedicalengineeringjournal …
Materials and Methods We utilized a dataset of 195 voice samples with 23 attributes,
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …

Innovative Machine Learning Approach to Predict Onset for Parkinson's Disease

D Nadar, Z Tailor, P Sarangi… - … on I-SMAC (IoT in Social …, 2024 - ieeexplore.ieee.org
Various medical databases contribute extensive data to identify illnesses, with a focus on
Parkinson's disease, a prevalent neurological condition marked by movement impairment …

Forecasting Parkinson's Disease Progression: Leveraging Machine Learning Techniques

K Agrawal, T Prathima - 2024 Asia Pacific Conference on …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neuro-degenerative disorder that impacts the dopamine
producing neurons of the brain. The symptoms are characterized by bradykinesia, tremors …

Detecting Parkinson's Disease with Prediction: A Novel SVM Approach

KH Krishnappa, R Shashidhar… - 2023 International …, 2023 - ieeexplore.ieee.org
In recent years, the prevalence of neurological diseases has been on the rise due to an
increasing population and aging. Conditions like Parkinson's disease, stroke, cerebral palsy …

Deep Learning based prediction and monitoring of Parkinson's Disease using Voice Data

S Sen, S Maiti, S Manna, A Kole, R Mondal… - Authorea …, 2024 - techrxiv.org
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …

Deep Learning based prediction and monitoring of Parkinson's Disease using Voice Data

S Maiti, S Sen, S Manna, A Kole, R Mondal… - 2024 - researchsquare.com
Accurately detecting Parkinson's disease (PD) at an early stage is certainly indispensable
for slowing down its progress and providing patients the possibility of accessing to disease …