New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease

R Gupta, S Kumari, A Senapati, RK Ambasta… - Ageing research …, 2023 - Elsevier
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …

Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations

A Rana, A Dumka, R Singh, MK Panda, N Priyadarshi… - Diagnostics, 2022 - mdpi.com
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …

Advances in Parkinson's disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

L Moro-Velazquez, JA Gomez-Garcia… - … Signal Processing and …, 2021 - Elsevier
Parkinson's Disease (PD) affects speech in the form of dysphonia and hypokinetic
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …

Suitability of dysphonia measurements for telemonitoring of Parkinson's disease

M Little, P McSharry, E Hunter, J Spielman… - Nature Precedings, 2008 - nature.com
We present an assessment of the practical value of existing traditional and non-standard
measures for discriminating healthy people from people with Parkinson? s disease (PD) by …

Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson's disease

J Rusz, R Cmejla, H Ruzickova… - The journal of the …, 2011 - pubs.aip.org
An assessment of vocal impairment is presented for separating healthy people from persons
with early untreated Parkinson's disease (PD). This study's main purpose was to (a) …

A comparison of multiple classification methods for diagnosis of Parkinson disease

R Das - Expert Systems with Applications, 2010 - Elsevier
In this paper, different types of classification methods are compared for effective diagnosis of
Parkinson's diseases. The reliable diagnosis of Parkinson's disease is notoriously difficult to …

An efficient diagnosis system for detection of Parkinson's disease using fuzzy k-nearest neighbor approach

HL Chen, CC Huang, XG Yu, X Xu, X Sun… - Expert systems with …, 2013 - Elsevier
In this paper, we present an effective and efficient diagnosis system using fuzzy k-nearest
neighbor (FKNN) for Parkinson's disease (PD) diagnosis. The proposed FKNN-based …

[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine

M Shahbakhi, DT Far, E Tahami - Journal of biomedical science and …, 2014 - scirp.org
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …

Telediagnosis of Parkinson's disease using measurements of dysphonia

CO Sakar, O Kursun - Journal of medical systems, 2010 - Springer
Parkinson's disease (PD) is a neurological illness which impairs motor skills, speech, and
other functions such as mood, behavior, thinking, and sensation. It causes vocal impairment …

[PDF][PDF] Nonlinear models using Dirichlet process mixtures.

B Shahbaba, R Neal - Journal of Machine Learning Research, 2009 - jmlr.org
We introduce a new nonlinear model for classification, in which we model the joint
distribution of response variable, y, and covariates, x, non-parametrically using Dirichlet …