[HTML][HTML] Towards Early Intervention: Detecting Parkinson's Disease through Voice Analysis with Machine Learning
Materials and Methods We utilized a dataset of 195 voice samples with 23 attributes,
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …
applying machine learning algorithms such as Linear Discriminant Analysis (LDA), Support …
Harnessing Voice Analysis and Machine Learning for Early Diagnosis of Parkinson's Disease: A Comprehensive Study Across Diverse Datasets
OP Neto - Available at SSRN 4617895, 2023 - papers.ssrn.com
Background: Early diagnosis is pivotal for the effective management of Parkinson's Disease
(PD). Voice analysis emerges as a promising non-invasive method for early detection of PD …
(PD). Voice analysis emerges as a promising non-invasive method for early detection of PD …
Predictive Modelling for Parkinson's Disease Diagnosis using Biomedical Voice Measurements
Abstract INTRODUCTION: Parkinson's Disease (PD), a progressively debilitating
neurological disorder impacting a substantial global population, stands as a significant …
neurological disorder impacting a substantial global population, stands as a significant …
Detection of Parkinson disease using multiclass machine learning approach
S Srinivasan, P Ramadass, SK Mathivanan… - Scientific Reports, 2024 - nature.com
Parkinson's Disease (PD) is a prevalent neurological condition characterized by motor and
cognitive impairments, typically manifesting around the age of 50 and presenting symptoms …
cognitive impairments, typically manifesting around the age of 50 and presenting symptoms …
Predictive Models in the Diagnosis of Parkinson's Disease Through Voice Analysis
T Gonçalves, J Reis, G Gonçalves, M Calejo… - Intelligent Systems …, 2024 - Springer
Parkinson's disease (PD) is a chronic and progressive long-term degenerative disorder of
the central nervous system. The symptoms usually develop slowly, starting with symptoms in …
the central nervous system. The symptoms usually develop slowly, starting with symptoms in …
Machine learning for the diagnosis of Parkinson's disease using speech analysis: a systematic review
C Bang, N Bogdanovic, G Deutsch… - International Journal of …, 2023 - Springer
As voice technology continues to advance, clinical analysis of acoustic measures in speech
patterns has the potential for early detection of Parkinson's disease (PD), the second most …
patterns has the potential for early detection of Parkinson's disease (PD), the second most …
Deep Learning-based model for the detection of Parkinson's disease using voice data
The advancements in deep learning and their applications in the field of health diagnosis
have been very encouraging, therefore providing a better way for healthcare and also in the …
have been very encouraging, therefore providing a better way for healthcare and also in the …
Machine learning approaches to identify Parkinson's disease using voice signal features
R Alshammri, G Alharbi, E Alharbi… - Frontiers in artificial …, 2023 - frontiersin.org
Parkinson's Disease (PD) is the second most common age-related neurological disorder
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …
that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its …
Harnessing Voice Analysis and Machine Learning for Early Diagnosis of Parkinson's Disease: A Comparative Study Across Three Datasets
OP Neto - Journal of Voice, 2024 - Elsevier
Objective This study evaluates the efficacy of voice analysis combined with machine
learning (ML) techniques in enabling the diagnosis of Parkinson's disease (PD). Methods …
learning (ML) techniques in enabling the diagnosis of Parkinson's disease (PD). Methods …
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice
Abstract Background and Objective: Parkinson's disease is the second-most-common
neurodegenerative disorder that affects motor skills, cognitive processes, mood, and …
neurodegenerative disorder that affects motor skills, cognitive processes, mood, and …
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