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 …
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 …
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 …
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 …
[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 …
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 …
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 …
Assessing Parkinson's disease at scale using telephone-recorded speech: insights from the Parkinson's voice initiative
Numerous studies have reported on the high accuracy of using voice tasks for the remote
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
detection and monitoring of Parkinson's Disease (PD). Most of these studies, however …
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 …
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …
Artificial intelligence-based voice assessment of patients with Parkinson's disease off and on treatment: machine vs. deep-learning comparison
Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
diseases. Diagnosis is achieved clinically on the basis of different symptoms with …
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