A new Diagnosis using a Parkinson's Disease XGBoost and CNN-based classification model Using ML Techniques

A Kumar, BR Bhatt, P Anitha, AK Yadav… - 2022 International …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurological condition that affects the brain of the human body
and causes difficultywalking, shaking, stiffness, and loss of balance and coordination. Most …

Implementation of xgboost for classification of parkinson's disease

G Abdurrahman, M Sintawati - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Parkinson's Disease (PD) is an advanced neurodegenerative illness. It is about 90% of PD
sufferer shows speech disorders in the initial stages. Hence, in this research, speech …

Classification of Parkinson's disease using speech signal with machine learning and deep learning approaches

S Rahman, M Hasan, AK Sarkar, F Khan - European Journal of Electrical …, 2023 - ejece.org
Parkinson's disease (PD) is a chronic neurological condition that is growing in prevalence
and manifests both motor and non-motor symptoms. Most PD patients have trouble …

Classification of Parkinson disease based on patient's voice signal using machine learning

I Ahmed, S Aljahdali, MS Khan… - … Automation and Soft …, 2022 - zuscholars.zu.ac.ae
Parkinson's disease (PD) is a nervous system disorder first described as a neurological
condition in 1817. It is one of the more prevalent diseases in the elderly, and Alzheimer's is …

Early diagnosis of Parkinson's disease based on non-motor symptoms: a descriptive and factor analysis

H Kuresan, D Samiappan, S Ghosh… - Journal of Ambient …, 2021 - Springer
Parkinson's disease (PD) occurs due to lack of dopamine-producing (" dopaminergic")
neurons predominately in the particular region of substantia nigra (SN) in the brain, with …

Vocal feature guided detection of parkinson's disease using machine learning algorithms

M Mamun, MI Mahmud, MI Hossain… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a progressive neurodegenerative disorder that primarily affects
the motor neurons of the brain and causes tremors, stiffness, and difficulty walking …

[PDF][PDF] Intelligent Parkinson disease prediction using machine learning algorithms

TV Sriram, MV Rao, GS Narayana… - Int. J. Eng. Innov …, 2013 - researchgate.net
Diagnosis of the Parkinson disease through machine learning approache provides better
understanding from PD dataset in the present decade. Orange v2. 0b and weka v3. 4.10 has …

Prediction of Parkinson's disease using XGBoost

ES TC, VD RS - 2022 8th International Conference on …, 2022 - ieeexplore.ieee.org
Parkinson's Disease (PD) is one of the world's most serious public health issues. It is a well-
known fact that approximately one million people in the United States suffer from Parkinson's …

A nonlinear decision tree based classification approach to predict the Parkinson's disease using different feature sets of voice data

S Aich, K Younga, KL Hui, AA Al-Absi… - 2018 20th international …, 2018 - ieeexplore.ieee.org
In the past few years, lot of researchers are working to get some breakthrough for early
detection of Parkinson's disease. As the old age population is increasing at a higher rate as …

Speech-based Parkinson's disease prediction using XGBoost-based features selection and the stacked ensemble of classifiers

B Karan - Journal of The Institution of Engineers (India): Series B, 2023 - Springer
Parkinson's disease (PD) is a neuron-related disorder due to the decrease in dopaminergic
neurons present in the midbrain. For the last few decades, speech is an emerging interest in …