[HTML][HTML] Gradient boosting for Parkinson's disease diagnosis from voice recordings
I Karabayir, SM Goldman, S Pappu… - BMC Medical Informatics …, 2020 - Springer
Abstract Background Parkinson's Disease (PD) is a clinically diagnosed neurodegenerative
disorder that affects both motor and non-motor neural circuits. Speech deterioration …
disorder that affects both motor and non-motor neural circuits. Speech deterioration …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings
The computerized detection of Parkinson's disease (PD) will facilitate population screening
and frequent monitoring and provide a more objective measure of symptoms, benefiting both …
and frequent monitoring and provide a more objective measure of symptoms, benefiting both …
[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 …
Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms: A Comprehensive Study
MA Sayed, S Ahamed, DM Cao, MEUI Pavel… - arXiv preprint arXiv …, 2023 - arxiv.org
Parkinson's disease (PD) is a prevalent neurodegenerative disorder known for its impact on
motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study …
motor neurons, causing symptoms like tremors, stiffness, and gait difficulties. This study …
[HTML][HTML] Parkinson's disease diagnosis: The effect of autoencoders on extracting features from vocal characteristics
AG Mohammadi, P Mehralian, A Naseri, H Sajedi - Array, 2021 - Elsevier
This paper aims to employ Machine Learning (ML) classifying algorithms to predict whether
the patient has Parkinson's Disease (PD) or not. Motor disorders mainly characterize PD …
the patient has Parkinson's Disease (PD) or not. Motor disorders mainly characterize PD …
[HTML][HTML] An ensemble nearest neighbor boosting technique for prediction of Parkinson's disease
KA Shastry - Healthcare Analytics, 2023 - Elsevier
Parkinson's disease (PD) is a complex condition that affects an individual's motor features
and intensifies over time. Symptoms vary between individuals and can go undetected at an …
and intensifies over time. Symptoms vary between individuals and can go undetected at an …
[HTML][HTML] 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 …
[HTML][HTML] 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 …