[HTML][HTML] Machine learning-assisted speech analysis for early detection of Parkinson's disease: a study on speaker diarization and classification techniques
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor
and non-motor symptoms. One of the notable non-motor symptoms of PD is the presence of …
and non-motor symptoms. One of the notable non-motor symptoms of PD is the presence of …
Use of ANN, LSTM and CNN Classifiers for the New MSCC and BSCC Methods in the Detection of Parkinson's Disease by Voice Analysis.
Parkinson's disease (PD) is a neurodegenerative condition that impacts a significant global
population. The timely and precise identification of PD plays a pivotal role in facilitating early …
population. The timely and precise identification of PD plays a pivotal role in facilitating early …
PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS
B SIDAOUI - Applied Computer Science, 2024 - ph.pollub.pl
In this study, the authors present and scrutinize two deep learning models designed for
predicting the states of epilepsy patients by utilizing extracted data from their brain's …
predicting the states of epilepsy patients by utilizing extracted data from their brain's …
[PDF][PDF] Feature Selection Improves Speech Based Parkinson's Disease Detection Performance.
AN Tekindor, EA Aydin - BIOSTEC (1), 2024 - scitepress.org
Parkinson's disease (PD) is a neurodegenerative disorder that is caused by decrease in
dopamine levels in the brain. There is currently no cure for PD; however, the progression of …
dopamine levels in the brain. There is currently no cure for PD; however, the progression of …