Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
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 …

Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease

J Zhang - npj Parkinson's Disease, 2022 - nature.com
Parkinson's disease (PD) is a common, progressive, and currently incurable
neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in …

An explainable machine learning model for early detection of Parkinson's disease using LIME on DaTSCAN imagery

PR Magesh, RD Myloth, RJ Tom - Computers in Biology and Medicine, 2020 - Elsevier
Parkinson's Disease (PD) is a degenerative and progressive neurological condition. Early
diagnosis can improve treatment for patients and is performed through dopaminergic …

Deep learning based diagnosis of Parkinson's disease using convolutional neural network

S Sivaran**i, CM Sujatha - Multimedia tools and applications, 2020 - Springer
Parkinson's disease is the second most common degenerative disease caused by loss of
dopamine producing neurons. The substantia nigra region is deprived of its neuronal …

Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

CR Pereira, DR Pereira, GH Rosa… - Artificial intelligence in …, 2018 - Elsevier
Background and objective Parkinson's disease (PD) is considered a degenerative disorder
that affects the motor system, which may cause tremors, micrography, and the freezing of …

Diffusion tensor imaging in Parkinson's disease and parkinsonian syndrome: a systematic review

Y Zhang, MA Burock - Frontiers in neurology, 2020 - frontiersin.org
Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar
microstructural indices of the brain white matter. Lower than normal fractional anisotropy as …

An ensemble of CNN models for Parkinson's disease detection using DaTscan images

A Kurmi, S Biswas, S Sen, A Sinitca, D Kaplun… - Diagnostics, 2022 - mdpi.com
Parkinson's Disease (PD) is a progressive central nervous system disorder that is caused
due to the neural degeneration mainly in the substantia nigra in the brain. It is responsible …

Deep learning‐based scheme to diagnose Parkinson's disease

T Vyas, R Yadav, C Solanki, R Darji, S Desai… - Expert …, 2022 - Wiley Online Library
Parkinson's disease (PD) is a neurological disorder of the central nervous system that
causes difficulty in movement, often including tremors and rigidity. Early detection of PD can …

Role of artificial intelligence techniques and neuroimaging modalities in detection of Parkinson's disease: a systematic review

N Aggarwal, BS Saini, S Gupta - Cognitive Computation, 2024 - Springer
Abstract Parkinson's disease (PD), a neurodegenerative disorder, is caused due to the lack
of dopamine neurotransmitters throughout the substantia nigra. Its diagnosis in the earlier …

Detection and classification of early stages of Parkinson's disease through wearable sensors and machine learning

A Shcherbak, E Kovalenko… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurodegenerative disease which is among the most spread
and growing common neurodegenerative disorders. It significantly limits the physical and …