Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Background and aim Neurodegenerative disorders (eg, Alzheimer's, Parkinson's) lead to
neuronal loss; neurocognitive disorders (eg, delirium, dementia) show cognitive decline …
neuronal loss; neurocognitive disorders (eg, delirium, dementia) show cognitive decline …
Fractal dimensions and machine learning for detection of Parkinson's disease in resting-state electroencephalography
Parkinson's disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
[HTML][HTML] A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity
Landslides threaten human life, property, and vital infrastructure in most mountainous
regions. As climate change intensifies extreme weather patterns, the landslide risk is likely to …
regions. As climate change intensifies extreme weather patterns, the landslide risk is likely to …
[HTML][HTML] Harnessing Big Data in Amyotrophic Lateral Sclerosis: Machine Learning Applications for Clinical Practice and Pharmaceutical Trials
EL Tan, J Lope, P Bede - Journal of Integrative Neuroscience, 2024 - imrpress.com
The arrival of genotype-specific therapies in amyotrophic lateral sclerosis (ALS) signals the
dawn of precision medicine in motor neuron diseases (MNDs). After decades of academic …
dawn of precision medicine in motor neuron diseases (MNDs). After decades of academic …
Syndrome Pattern Recognition Method Using Sensed Patient Data for Neurodegenerative Disease Progression Identification
Neurodegenerative diseases are a group of conditions that involve the progressive loss of
function of neurons in the brain and spinal cord. These conditions can result in a wide range …
function of neurons in the brain and spinal cord. These conditions can result in a wide range …
Ethical Considerations and Challenges in Neurodegenerative Diseases Using Machine Learning
Neurodegenerative illnesses, some of the most common diseases affecting public health,
are affecting an increasing number of nations on a daily basis. Alzheimer's disease (AD) and …
are affecting an increasing number of nations on a daily basis. Alzheimer's disease (AD) and …
Fractal Dimensions and Machine Learning for Detection of Parkinson's Disease in Resting-State EEG
U Lal, AV Chikkankod, L Longo - 2023 - researchsquare.com
Parkinson's Disease (PD) is an incurable neurological disorder that degenerates the
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
cerebrospinal nervous system and hinders motor functions. Electroencephalography (EEG) …
Identifying Human Movement Patterns: Multivariate Gait Analysis Through Machine Learning
The ability to identify walking conditions correctly is essential for both diagnosing and
treating gait abnormalities. This study utilized machine learning algorithms to analyze …
treating gait abnormalities. This study utilized machine learning algorithms to analyze …