QUANTITATIVE MODELLING OF DIAGNOSTIC TRENDS IN MULTIPLE SCLEROSIS ACROSS DEMOGRAPHICS

Abstract

Within the medical community, multiple sclerosis (MS) is one of the uncommon diseases that is still untreatable and incurable. The objective of the study is to determine the impact of age and gender on several diagnostic features of MS patients. The diagnostic features include Varicella, initial symptom, mono- or poly-symptomatic, oligoclonal bands, visual evoked potential, and other MRI abnormalities. These features were statistically analyzed. Varicella shows a strong correlation with age (r = 0.89369) and a weak correlation with gender (r = 0.1341). According to the study, symptoms differ throughout age groups. Males typically experience motor symptoms, whereas females often experience sensory and motor symptoms. The poly-symptomatic record is more common in female patients than in male patients. A very modest connection was established between the maximum oligoclonal band and gender in the age group of 31-40 years. The VEP test indicates that the majority of positive cases are found in males compared to females. The study is unique because of its quantitative analysis and compilation of studies on the connections between gender, age, and various MS clinical characteristics. Additionally, the study aims to mathematically identify responsible variables that have not been fully analyzed before.