Early detection of Parkinson's disease through speech features and machine learning: A review
AS Gullapalli, VK Mittal - ICT with Intelligent Applications: Proceedings of …, 2021 - Springer
Parkinson's Disease (PD) is a kind of neurodegenerative disorder. The disease causes
communication impairment based on its progression. In general, identification of PD carried …
communication impairment based on its progression. In general, identification of PD carried …
BiLSTM with data augmentation using interpolation methods to improve early detection of parkinson disease
OO Abayomi-Alli, R Damaševičius… - … 15th conference on …, 2020 - ieeexplore.ieee.org
The lack of dopamine in the human brain is the cause of Parkinson disease (PD) which is a
degenerative disorder common globally to older citizens. However, late detection of this …
degenerative disorder common globally to older citizens. However, late detection of this …
RETRACTED ARTICLE: Machine learning ensemble for neurological disorders
H Kaur, AK Malhi, HS Pannu - Neural Computing and Applications, 2020 - Springer
Parkinson disease is a neurodegenerative disorder of the central nerve system which affects
body movements. The proposed technique selects best five machine learning models …
body movements. The proposed technique selects best five machine learning models …
Happy emotion recognition from unconstrained videos using 3D hybrid deep features
N Samadiani, G Huang, Y Hu, X Li - IEEE access, 2021 - ieeexplore.ieee.org
Facial expressions have been proven to be the most effective way for the brain to recognize
human emotions in a variety of contexts. With the exponentially increasing research for …
human emotions in a variety of contexts. With the exponentially increasing research for …
Classification of Parkinson disease using binary Rao optimization algorithms
Rao algorithms are recently proposed optimization algorithms used to solve optimization
problems. These algorithms are based on the best and the worst solutions, which are …
problems. These algorithms are based on the best and the worst solutions, which are …
Machine learning for healthcare: Introduction
S Gupta, RR Sedamkar - Machine learning with health care perspective …, 2020 - Springer
Abstract Machine Learning (ML) is an evolving area of research with lot many opportunities
to explore.“It is the defining technology of this decade, though its impact on healthcare has …
to explore.“It is the defining technology of this decade, though its impact on healthcare has …
An insight on recent advancements and future perspectives in detection techniques of Parkinson's disease
S Sankineni, A Saraswat, M Suchetha, SN Aakur… - Evolutionary …, 2024 - Springer
Parkinson's disease has no specific test for diagnosis, which is usually detected through a
review of signs and symptoms like tremors, stiffness, and slowness of movement. Over the …
review of signs and symptoms like tremors, stiffness, and slowness of movement. Over the …
The ForEx++ based decision tree ensemble approach for robust detection of Parkinson's disease
M Pramanik, R Pradhan, P Nandy, AK Bhoi… - Journal of Ambient …, 2023 - Springer
The progressive reduction of dopaminergic neurons in the human brain, especially at the
substantia nigra is one of the principal causes of Parkinson's Disease (PD). Voice alteration …
substantia nigra is one of the principal causes of Parkinson's Disease (PD). Voice alteration …
A multiple feature fusion framework for video emotion recognition in the wild
Human emotions can be recognized from facial expressions captured in videos. It is a
growing research area in which many have attempted to improve video emotion detection in …
growing research area in which many have attempted to improve video emotion detection in …
Early Prediction of Parkinson's Disease (PD) Using Ensemble Classifiers
CD Anisha, N Arulanand - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Parkinson's Disease (PD) is a progressive neurodegenerative disorder mainly characterized
by motor and non-motor symptoms. Speech symptoms represent as one of the earliest motor …
by motor and non-motor symptoms. Speech symptoms represent as one of the earliest motor …