New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
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 …
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
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 …
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 …
dysarthria. Multiple studies have evaluated PD's influence on different aspects of speech …
Suitability of dysphonia measurements for telemonitoring of Parkinson's disease
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 …
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
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) …
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 …
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
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 …
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 …
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
Telediagnosis of Parkinson's disease using measurements of dysphonia
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 …
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 …
distribution of response variable, y, and covariates, x, non-parametrically using Dirichlet …