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 …
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 …
Detecting Parkinson's Disease with Convolutional Neural Networks: Voice Analysis and Deep Learning
K Saltos, L Zhinin-Vera, C Godoy, R Chachalo… - … on Information and …, 2023 - Springer
Parkinson's disease, the second most prevalent neurodegenerative disorder among
individuals over the age of 65, poses challenges in early-stage detection, often requiring …
individuals over the age of 65, poses challenges in early-stage detection, often requiring …
Exploring robust computer-aided diagnosis of Parkinson's disease based on various voice signals
As the voice disorder is a typical early symptom of Parkinson, some researchers attempt to
diagnose this disease based on voice data collected from suspected patients. Although …
diagnose this disease based on voice data collected from suspected patients. Although …
[HTML][HTML] Investigating voice as a biomarker: deep phenotyping methods for early detection of Parkinson's disease
Voice technology has grown tremendously in recent years and using voice as a biomarker
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …
has also been gaining evidence. We demonstrate the potential of voice in serving as a deep …
A machine learning method to process voice samples for identification of Parkinson's disease
Abstract Machine learning approaches have been used for the automatic detection of
Parkinson's disease with voice recordings being the most used data type due to the simple …
Parkinson's disease with voice recordings being the most used data type due to the simple …
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 …
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 …
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 …
[HTML][HTML] A novel voice classification based on Gower distance for Parkinson disease detection
Background Traditional classifier for the classification of diseases, such as K-Nearest
Neighbors (KNN), Linear Discriminant Analysis (LDA), Random Forest (RF), Logistic …
Neighbors (KNN), Linear Discriminant Analysis (LDA), Random Forest (RF), Logistic …
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