Imperative role of machine learning algorithm for detection of Parkinson's disease: review, challenges and recommendations
Parkinson's disease (PD) is a neurodegenerative disease that affects the neural, behavioral,
and physiological systems of the brain. This disease is also known as tremor. The common …
and physiological systems of the brain. This disease is also known as tremor. The common …
Application of deep learning models for automated identification of Parkinson's disease: A review (2011–2021)
Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting
over 6 million people globally. Although there are symptomatic treatments that can increase …
over 6 million people globally. Although there are symptomatic treatments that can increase …
A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
Parkinson's disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B Vidya, P Sasikumar - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Parkinson's disease (PD) diagnosis is a complex and challenging task which needs the
assessment of various motor and non-motor symptoms. As gait impairment is one of the …
assessment of various motor and non-motor symptoms. As gait impairment is one of the …
Local pattern transformation based feature extraction for recognition of Parkinson's disease based on gait signals
Parkinson's disease (PD) is a neuro-degenerative disorder primarily triggered due to the
deterioration of dopamine-producing neurons in the substantia nigra of the human brain …
deterioration of dopamine-producing neurons in the substantia nigra of the human brain …
The role of neural network for the detection of Parkinson's disease: a scoping review
MS Alzubaidi, U Shah, H Dhia Zubaydi, K Dolaat… - Healthcare, 2021 - mdpi.com
Background: Parkinson's Disease (PD) is a chronic neurodegenerative disorder that has
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
been ranked second after Alzheimer's disease worldwide. Early diagnosis of PD is crucial to …
Combining spectral and texture features of UAV images for the remote estimation of rice LAI throughout the entire growing season
K Yang, Y Gong, S Fang, B Duan, N Yuan, Y Peng… - Remote Sensing, 2021 - mdpi.com
Leaf area index (LAI) estimation is very important, and not only for canopy structure analysis
and yield prediction. The unmanned aerial vehicle (UAV) serves as a promising solution for …
and yield prediction. The unmanned aerial vehicle (UAV) serves as a promising solution for …
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
An efficient machine learning approach for diagnosing parkinson's disease by utilizing voice features
Parkinson's disease (PD) is a neurodegenerative disease that impacts the neural,
physiological, and behavioral systems of the brain, in which mild variations in the initial …
physiological, and behavioral systems of the brain, in which mild variations in the initial …
Neurodegenerative disease detection and severity prediction using deep learning approaches
Neurodegenerative diseases (NDDs) such as amyotrophic lateral sclerosis (ALS),
Huntington's disease (HD), and Parkinson's disease (PD) can manifest themselves …
Huntington's disease (HD), and Parkinson's disease (PD) can manifest themselves …