This study extends the application of the frequency-domain new causality method to
functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced …

Objective. to develop an optimization and training pipeline for a classification model based
on principal component analysis and logistic regression using neuroimages from PET with 2 …

This manuscript proposes a multi-class recognition system with improved classification
accuracy using machine-learning techniques by considering electroencephalogram (EEG) …

The mechanism of detecting the neurodegenerative disorder from Magnetic Resonance
Images (MRIs) is one of the demanding and critical process in recent days. For this purpose …

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments and cognitive deficits. Early and accurate detection of PD plays a crucial role in …

Method: In this study, a dataset related to the early prediction of Alzheimer's was used. Spark
framework was used for data management and three machine learning algorithms including …

Introduction: Alzheimer's disease is one of the most common neurodegenerative diseases in
adults. The progressive nature of Alzheimer's disease causes widespread damage to the …

Lung cancer is one of the most prevalent cancer-related diseases with high mortality rate,
and this is largely due to the lateness in detecting the presence of malignancy. Again, the …