Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

Multiple Sclerosis is a chronic inflammatory disease, affecting the Central Nervous System
and leading to irreversible neurological damage, such as long term functional impairment …

Background Multiple sclerosis (MS) is a neurodegenerative disease that affects the central
nervous system, especially the brain, spinal cord, and optic nerve. Diagnosis of this disease …

Abstract Machine learning approaches in diagnosis and prognosis of multiple sclerosis (MS)
were analysed using retinal nerve fiber layer (RNFL) thickness, measured by optical …

Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

The course of multiple sclerosis begins with a relapsing-remitting phase, which evolves into
a secondarily progressive form over an extremely variable period, depending on many …

Abstract Background and Objectives Research in Multiple Sclerosis (MS) has recently
focused on extracting knowledge from real-world clinical data sources. This type of data is …

Background The last few decades have seen the approval of many new treatment options
for Relapsing-Remitting Multiple Sclerosis (RRMS), as well as advances in diagnostic …

Threat situation awareness is one of the new major technologies to avoid network attacks
and ensure equipment security. Facing the current IoT network architecture which is …