Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
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 …
A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
Multiple factors are involved in the dysarthria associated with Parkinson's disease: a review with implications for clinical practice and research
S Sapir - Journal of Speech, Language, and Hearing Research, 2014 - ASHA
Purpose Motor speech abnormalities are highly common and debilitating in individuals with
idiopathic Parkinson's disease (IPD). These abnormalities, collectively termed hypokinetic …
idiopathic Parkinson's disease (IPD). These abnormalities, collectively termed hypokinetic …
High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing
WR Adams - PloS one, 2017 - journals.plos.org
Parkinson's Disease (PD) is a progressive neurodegenerative movement disease affecting
over 6 million people worldwide. Loss of dopamine-producing neurons results in a range of …
over 6 million people worldwide. Loss of dopamine-producing neurons results in a range of …
Natural language processing as an emerging tool to detect late-life depression
Late-life depression (LLD) is a major public health concern. Despite the availability of
effective treatments for depression, barriers to screening and diagnosis still exist. The use of …
effective treatments for depression, barriers to screening and diagnosis still exist. The use of …
An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features
Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …
physiological, and behavioral systems of the brain, in which mild variations in the initial …
[HTML][HTML] Deducing health cues from biometric data
Medical diagnosis involves the expert opinion of trained health care professionals based on
causal inference from medical data. While medical data are typically collected using …
causal inference from medical data. While medical data are typically collected using …
Classification of Parkinson's disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples
HH Zhang, L Yang, Y Liu, P Wang, J Yin, Y Li… - Biomedical engineering …, 2016 - Springer
Background The use of speech based data in the classification of Parkinson disease (PD)
has been shown to provide an effect, non-invasive mode of classification in recent years …
has been shown to provide an effect, non-invasive mode of classification in recent years …
A computerized analysis with machine learning techniques for the diagnosis of Parkinson's disease: past studies and future perspectives
According to the World Health Organization (WHO), Parkinson's disease (PD) is a
neurodegenerative disease of the brain that causes motor symptoms including slower …
neurodegenerative disease of the brain that causes motor symptoms including slower …