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 …

Computerized analysis of speech and voice for Parkinson's disease: A systematic review

QC Ngo, MA Motin, ND Pah, P Drotár… - Computer Methods and …, 2022 - Elsevier
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 …

[HTML][HTML] Applied machine learning techniques to diagnose voice-affecting conditions and disorders: systematic literature review

A Idrisoglu, AL Dallora, P Anderberg… - Journal of Medical Internet …, 2023 - jmir.org
Background Normal voice production depends on the synchronized cooperation of multiple
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

F Amato, G Saggio, V Cesarini, G Olmo… - Expert Systems with …, 2023 - Elsevier
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 …

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 …

[HTML][HTML] Assessment tasks and virtual exergames for remote monitoring of Parkinson's disease: An integrated approach based on Azure Kinect

G Amprimo, G Masi, L Priano, C Azzaro, F Galli… - Sensors, 2022 - mdpi.com
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 …

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 …

Multifractal perturbations to multiplicative cascades promote multifractal nonlinearity with asymmetric spectra

M Mangalam, DG Kelty-Stephen - Physical Review E, 2024 - APS
Biological and psychological processes have been conceptualized as emerging from
intricate multiplicative interactions among component processes across various spatial and …

Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity

M Mangalam, H Seckler, DG Kelty-Stephen - Physical Review Research, 2024 - APS
Evidence of multifractal structures has spread to a wider set of physiological time series
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 …