System of recommendations for the diagnosis of neurological diseases

Abstract

The diagnosis of neurological diseases is a growing concern and one of the most difficult challenges for modern medicine. According to the recent report by the World Health Organization, neurological disorders, such as epilepsy, Alzheimer's disease, and strokes and headaches, affect one billion people worldwide. The objective of this research is to develop a system of recommendations for the diagnosis of neurological diseases. The implemented recommendation system contributes to the diagnosis of neurological diseases. Through neutrosophic logic algorithms, this system is capable of processing clinical information, diagnostic test results and patients' medical history to offer precise suggestions to health professionals. This technology makes it possible to identify patterns and anomalies that often went unnoticed, thus facilitating the early detection of neurological disorders.