Parkinson's Disease Diagnosis Using Deep Learning: A Bibliometric Analysis and Literature Review
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD …
Machine learning and deep learning approach to Parkinson's disease detection: present state-of-the-art and a bibliometric review
G Sabherwal, A Kaur - Multimedia Tools and Applications, 2024 - Springer
Parkinson's disease (PD) is fatal, severe and irreversible neurological disorder. With the
aging of the world population, the prevalence of PD is on the rise, making it the second most …
aging of the world population, the prevalence of PD is on the rise, making it the second most …
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 …
Deep learning for Parkinson's disease diagnosis: a short survey
M Shaban - Computers, 2023 - mdpi.com
Parkinson's disease (PD) is a serious movement disorder that may eventually progress to
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …
mild cognitive dysfunction (MCI) and dementia. According to the Parkinson's foundation, one …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset
Neurodegenerative disorders, such as Alzheimer's and Parkinson's, constitute a major factor
in long-term disability and are becoming more and more a serious concern in developed …
in long-term disability and are becoming more and more a serious concern in developed …
Cascaded deep learning frameworks in contribution to the detection of parkinson's disease
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by
motor impairment, as well as tremors, stiffness, and rigidity. Besides the typical motor …
motor impairment, as well as tremors, stiffness, and rigidity. Besides the typical motor …
Diagnosing parkinson by using deep autoencoder neural network
The deep learning is strong on not only images (as explained in the previous Chap. 4) but
also on sound-type data. It is possible to show that in a serious disease called as …
also on sound-type data. It is possible to show that in a serious disease called as …
[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
[PDF][PDF] Machine learning for the diagnosis of Parkinson's disease: a systematic review
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 …