New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
Deep transfer learning based parkinson's disease detection using optimized feature selection
Parkinson's disease (PD) is one of the chronic neurological diseases whose progression is
slow and symptoms have similarities with other diseases. Early detection and diagnosis of …
slow and symptoms have similarities with other diseases. Early detection and diagnosis of …
Handwriting dynamics assessment using deep neural network for early identification of Parkinson's disease
The etiology of Parkinson's disease (PD) remains unclear. Symptoms usually appear after
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
approximately 70% of dopamine-producing cells have stopped working normally. PD cannot …
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with significant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
[HTML][HTML] 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 …
Classification of mild cognitive impairment based on handwriting dynamics and qEEG
J Chai, R Wu, A Li, C Xue, Y Qiang, J Zhao… - Computers in biology …, 2023 - Elsevier
Subtle changes in fine motor control and quantitative electroencephalography (qEEG) in
patients with mild cognitive impairment (MCI) are important in screening for early dementia …
patients with mild cognitive impairment (MCI) are important in screening for early dementia …
[HTML][HTML] Analysis of Parkinson's disease using an imbalanced-speech dataset by employing decision tree ensemble methods
Parkinson's disease (PD) currently affects approximately 10 million people worldwide. The
detection of PD positive subjects is vital in terms of disease prognostics, diagnostics …
detection of PD positive subjects is vital in terms of disease prognostics, diagnostics …
Enhancing Parkinson's disease diagnosis through stacking ensemble-based machine learning approach
Parkinson's disease is a progressive neurological condition that affects motor abilities.
Common symptoms include tremors, muscle stiffness, and difficulty with coordinated …
Common symptoms include tremors, muscle stiffness, and difficulty with coordinated …