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 …

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 …

RETRACTED ARTICLE: Machine learning ensemble for neurological disorders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 …

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 …

Classification of Parkinson disease using binary Rao optimization algorithms

SR Sharma, B Singh, M Kaur - Expert Systems, 2021 - Wiley Online Library
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 …

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 …

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 …

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 …

A multiple feature fusion framework for video emotion recognition in the wild

N Samadiani, G Huang, W Luo, CH Chi… - Concurrency and …, 2022 - Wiley Online Library
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 …

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 …