A Comparison of Machine Learning Algorithms for Parkinson's Disease Detection

TA Vu, NTT Ha, HQ Huy, NV Dung… - 2023 12th …, 2023 - ieeexplore.ieee.org
Parkinson's disease is a progressive condition that impacts the neurological system and the
areas of the body that are under the control of the nerves. Detecting and diagnosing PD …

[PDF][PDF] A comparative and comprehensive study of prediction of parkinson's disease

N Prasath, V Pandi… - Indonesian Journal …, 2021 - pdfs.semanticscholar.org
Parkinson's disease (PD) is a form of neurodegenerative disease that is caused the
progressive weakening of dopaminergic nerve cells that affects a large number of people …

Low cost Parkinson's disease early detection and classification based on voice and electromyography signal

FT Putri, M Ariyanto, W Caesarendra, R Ismail… - … Intelligence for Pattern …, 2018 - Springer
Parkinson's disease (PD) is one of the health problems concerning for elderly population.
Manageable symptom is an important thing for Parkinson's sufferer in order to be …

Support vector machine based eHealth cloud system for diabetes classification

C Azad, AK Mehta, D Mahto… - … endorsed transactions on …, 2020 - publications.eai.eu
INTRODUCTION: Diabetes is a major health issue because it leaves people with physical
disabilities. Therefore, methodologies with a reduced error rate must be used to diagnose …

Multi-class model MOV-OVR for automatic evaluation of tremor disorders in Huntington's disease

R Maskeliunas, A Lauraitis, R Damasevicius… - … and Applications: Third …, 2021 - Springer
The abstract should summarize the contents of the paper in short terms, ie 150–250 words.
This article proposes a method for assessing the symptoms of tremor in patients at an early …

Performance analysis of attributes selection and discretization of Parkinson's disease dataset using machine learning techniques: a comprehensive approach

K Kamalakannan, G Anandharaj… - International Journal of …, 2023 - Springer
Prediction of Parkinson disease (PD) in an early stage is important since the disease is not
curable at later stages. Many machine algorithms have been used in the currently available …

Investigation of predicting functional capacity level for Huntington disease patients

A Lauraitis, R Maskeliūnas - … 2017, Druskininkai, Lithuania, October 12–14 …, 2017 - Springer
This paper introduces a model to forecast functional capacity level for people having
disorders such as hand tremors, disturbed balance, involuntary movements, chorea etc …

A Comparative and Comprehensive Analysis of Prediction of Parkinson's Disease

N Prasath, V Pandi, S Manickavasagam… - … and Applications in …, 2022 - taylorfrancis.com
Parkinson's disease (PD) is a chronic neurodegenerative disease (CND) that is caused by
the progressive weakening of dopaminergic nerve cells which affects a large number of …

13 A Comparative and

N Prasath, V Pandi, S Manickavasagam… - … and Applications in …, 2022 - books.google.com
Parkinson's disease may be a liberal neurodegenerative illness characterised by inactive
tremor, akinesia, rigidity, bradykinesia and postural unpredictability, produced by the …

Neurologinių sutrikimų aptikimo hibridinis klasifikavimo modelis

A Lauraitis - 2020 - epubl.ktu.edu
Abstract [eng] Dissertation addresses problematics related to the analysis and diagnosis of
central nervous system disorders (CNSD) using mobile smart devices and Self-Administered …