Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
The performance of various machine learning methods for Parkinson's disease recognition: a systematic review
Parkinson's disease (PD) is a common neurodegenerative disorder that causes
degeneration of dopaminergic neurons in the Nigrostriatal pathway and the discharge of …
degeneration of dopaminergic neurons in the Nigrostriatal pathway and the discharge of …
Machine learning models for Parkinson's disease detection and stage classification based on spatial-temporal gait parameters
Background Parkinson's disease (PD) is a chronic and progressive neurodegenerative
disease with no cure, presenting a challenging diagnosis and management. However …
disease with no cure, presenting a challenging diagnosis and management. However …
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Recent years have witnessed an increasing global population affected by
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
neurodegenerative diseases (NDs), which traditionally require extensive healthcare …
A comparative study: prediction of parkinson's disease using machine learning, deep learning and nature inspired algorithm
Parkinson's Disease (PD) is a degenerative and progressive neurological disorder worsens
over time. This disease initially affects people over 55 years old. Patients with PD often …
over time. This disease initially affects people over 55 years old. Patients with PD often …
Machine learning classifiers to evaluate data from gait analysis with depth cameras in patients with parkinson's disease
B Muñoz-Ospina, D Alvarez-Garcia… - Frontiers in Human …, 2022 - frontiersin.org
Introduction The assessments of the motor symptoms in Parkinson's disease (PD) are
usually limited to clinical rating scales (MDS UPDRS III), and it depends on the clinician's …
usually limited to clinical rating scales (MDS UPDRS III), and it depends on the clinician's …
Early Parkinson disease detection using audio signal processing
M Bansal, SJR Upali, S Sharma - … in Data Mining and Information Security …, 2022 - Springer
Parkinson disease is a long terms degenerative disorder and it has been found in the
studies that a person diagnosed with PD suffers several speech impairments and this …
studies that a person diagnosed with PD suffers several speech impairments and this …
Classification of subjects with Parkinson's disease using finger tap** dataset
Parkinson's disease is the second most common neurodegenerative disorder and affects
more than 7 million people globally. In this work, we classify subjects with Parkinson's …
more than 7 million people globally. In this work, we classify subjects with Parkinson's …
Leveraging CNN-SVM Hybrid Models for Improved Diagnostic Accuracy in Parkinson's Disease
S Mehta, A Rathour - … 4th Asian Conference on Innovation in …, 2024 - ieeexplore.ieee.org
Parkinson's disease is a chronic neurological disorder characterized by motor and non-
motor manifestations. The management and treatment of the condition require accurate …
motor manifestations. The management and treatment of the condition require accurate …
Gait abnormality detection using deep convolution network
Human gait analysis plays a significant role in clinical domain for diagnosis of
musculoskeletal disorders. It is an extremely challenging task for detecting abnormalities …
musculoskeletal disorders. It is an extremely challenging task for detecting abnormalities …