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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 …
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 …
Smartwatch inertial sensors continuously monitor real-world motor fluctuations in Parkinson's disease
R Powers, M Etezadi-Amoli, EM Arnold… - Science translational …, 2021 - science.org
Longitudinal, remote monitoring of motor symptoms in Parkinson's disease (PD) could
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
enable more precise treatment decisions. We developed the Motor fluctuations Monitor for …
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 …
Predicting parkinson's disease progression: Evaluation of ensemble methods in machine learning
Parkinson's disease (PD) is a complex neurodegenerative disease. Accurate diagnosis of
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
this disease in the early stages is crucial for its initial treatment. This paper aims to present a …
A robust intelligence regression model for monitoring Parkinson's disease based on speech signals
Parkinson's disease (PD) is a degenerative neurological disease, and early diagnosis of PD
is crucial. Monitoring PD progression from voice records is a promising technique, which is …
is crucial. Monitoring PD progression from voice records is a promising technique, which is …
[HTML][HTML] The role of neural network for the detection of Parkinson's disease: a sco** review
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 …
Remote tracking of Parkinson's disease progression using ensembles of deep belief network and self-organizing map
Parkinson's Disease (PD) is one of the most prevalent neurological disorders characterized
by impairment of motor function. Early diagnosis of PD is important for initial treatment. This …
by impairment of motor function. Early diagnosis of PD is important for initial treatment. This …
Deep feature extraction from the vocal vectors using sparse autoencoders for Parkinson's classification
Y ** and assessing a new web-based tap** test for measuring distal movement in Parkinson's disease: a Distal Finger Tap** test
N Akram, H Li, A Ben-Joseph, C Budu, DA Gallagher… - Scientific reports, 2022 - nature.com
Disability in Parkinson's disease (PD) is measured by standardised scales including the
MDS-UPDRS, which are subject to high inter and intra-rater variability and fail to capture …
MDS-UPDRS, which are subject to high inter and intra-rater variability and fail to capture …