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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 …
Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …
(PD). This study has summarized the literature related to speech and voice in detecting PD …
[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review
Background Normal voice production depends on the synchronized cooperation of multiple
physiological systems, which makes the voice sensitive to changes. Any systematic …
physiological systems, which makes the voice sensitive to changes. Any systematic …
Machine learning-and statistical-based voice analysis of Parkinson's disease patients: A survey
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
A voice feature extraction method based on fractional attribute topology for Parkinson's disease detection
T Zhang, L Lin, Z Xue - Expert systems with applications, 2023 - Elsevier
Parkinson's disease (PD) is a common neurodegenerative disease that seriously affects the
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
health and daily life of patients. Dysphonia is one of the early symptoms of PD and extracting …
[HTML][HTML] Assessment tasks and virtual exergames for remote monitoring of Parkinson's disease: An integrated approach based on Azure Kinect
Motor impairments are among the most relevant, evident, and disabling symptoms of
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …
Parkinson's disease that adversely affect quality of life, resulting in limited autonomy …
Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records
C Felix, JD Johnston, K Owen, E Shirima… - Digital …, 2024 - journals.sagepub.com
Objective This study assesses the application of interpretable machine learning modeling
using electronic medical record data for the prediction of conversion to neurological disease …
using electronic medical record data for the prediction of conversion to neurological disease …
Multifractal perturbations to multiplicative cascades promote multifractal nonlinearity with asymmetric spectra
Biological and psychological processes have been conceptualized as emerging from
intricate multiplicative interactions among component processes across various spatial and …
intricate multiplicative interactions among component processes across various spatial and …
Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity
Evidence of multifractal structures has spread to a wider set of physiological time series
supporting the intricate interplay of biological and psychological functioning. These …
supporting the intricate interplay of biological and psychological functioning. These …
Natural language processing techniques for studying language in pathological ageing: A sco** review
G Gagliardi - … Journal of Language & Communication Disorders, 2024 - Wiley Online Library
Background In the past few years there has been a growing interest in the employment of
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …
verbal productions as digital biomarkers, namely objective, quantifiable behavioural data …