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Parkinson's disease diagnosis using deep learning: A bibliometric analysis and literature review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
Machine learning and wearable sensors for automated Parkinson's disease diagnosis aid: A systematic review
Abstract Background The diagnosis of Parkinson's disease is currently based on clinical
evaluation. Despite clinical hallmarks, unfortunately, the error rate is still significant. Low in …
evaluation. Despite clinical hallmarks, unfortunately, the error rate is still significant. Low in …
[HTML][HTML] Acoustic analysis and prediction of type 2 diabetes mellitus using smartphone-recorded voice segments
Objective To investigate the potential of voice analysis as a prescreening or monitoring tool
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
for type 2 diabetes mellitus (T2DM) by examining the differences in voice recordings …
High-level CNN and machine learning methods for speaker recognition
G Costantini, V Cesarini, E Brenna - Sensors, 2023 - mdpi.com
Speaker Recognition (SR) is a common task in AI-based sound analysis, involving
structurally different methodologies such as Deep Learning or “traditional” Machine …
structurally different methodologies such as Deep Learning or “traditional” Machine …
Respiratory condition detection using audio analysis and convolutional neural networks optimized by modified metaheuristics
Respiratory conditions have been a focal point in recent medical studies. Early detection
and timely treatment are crucial factors in improving patient outcomes for any medical …
and timely treatment are crucial factors in improving patient outcomes for any medical …
Detecting Parkinson's disease with prediction: A novel SVM approach
In recent years, the prevalence of neurological diseases has been on the rise due to an
increasing population and aging. Conditions like Parkinson's disease, stroke, cerebral palsy …
increasing population and aging. Conditions like Parkinson's disease, stroke, cerebral palsy …
Computerized analysis of hypomimia and hypokinetic dysarthria for improved diagnosis of Parkinson's disease
Abstract Background and Objective An aging society requires easy-to-use approaches for
diagnosis and monitoring of neurodegenerative disorders, such as Parkinson's disease …
diagnosis and monitoring of neurodegenerative disorders, such as Parkinson's disease …
Data augmentation using reverb and noise in deep learning implementation of cough classification
The interest in automated analysis and classification of cough sounds has increased in
recent years, partly due to the worldwide COVID19 pandemic. To train such classification …
recent years, partly due to the worldwide COVID19 pandemic. To train such classification …
Towards Automated Classification of Parkinson's Disease: Comparison of Machine Learning Methods using MRI and Acoustic Data
In this study, we focus on Parkinson's Disease (PD) classification and present a comparative
analysis of prominent machine learning models using two distinct and independent …
analysis of prominent machine learning models using two distinct and independent …
[HTML][HTML] Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
In contemporary medical research, respiratory disorders have become a primary focus.
Improving patient outcomes for any medical condition largely depends on early identification …
Improving patient outcomes for any medical condition largely depends on early identification …