Latest AI and machine learning research in parkinson's disease for healthcare professionals.
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative diseases that affects tens o...
In the recent 5Â years (2014-2018), there has been growing interest in the use of machine learning (M...
The review aims at providing current state of evidence in the field of medicine with fuzzy logic for...
Machine learning algorithms that use data streams captured from soft wearable sensors have the poten...
OBJECTIVE: Deep brain stimulation (DBS) is a well-established treatment for essential tremor, but ma...
As the collection of mobile health data becomes pervasive, missing data can make large portions of d...
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) has shown clinical potential for relie...
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disabi...
BACKGROUND: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of ...
The basal ganglia are considered vital to action selection - a hypothesis supported by several biolo...
One of the most common symptoms observed among most of the Parkinson's disease patients that affects...
OBJECTIVE: This study seeks to systematically review the selection of features and algorithms for ma...
Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...
Unbiased estimates of neuron numbers within substantia nigra are crucial for experimental Parkinson'...
Utilizing the publicly available neuroimaging database enabled by Alzheimer's disease Neuroimaging I...
Parkinson's disease (PD) is a neurodegenerative progressive disease that mainly affects the motor sy...
Astrocytes are involved in various brain pathologies including trauma, stroke, neurodegenerative dis...
Stroke has become the leading cause of disability and the second-leading cause of mortality worldwid...
Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor symptoms. Pa...
Currently, the method mostly used by practitioners of environmental impact assessment (EIA) is the "...
In this paper, we provide an extensive overview of machine learning techniques applied to structural...