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Updated: Oct 17, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
[CLINICAL-MATHEMATICAL ANALYSIS OF INTERRELATIONS BETWEEN A CHARACTER OF THE PROGNOSIS AND PECULIARITIES OF ONSETS IN
N Voloshina1, V Vasylovskiy1, T Negreba1
1State Institution "Institute of Neurology, Psychiatry and Narcology of the NAMS of Ukraine", Kharkiv, Ukraine.
Abstract:
Aim of the study- to assess the prognostic value of indicators characterizing the course of the of multiple sclerosis onset (MS) using clinical-mathematical analysis. Patients with MS with different prognosis: good and uncertain for the relapsing-remitting type; uncertain and poor for progressive types of clinical course. A neurological examination using The Expanded Disability Status Scale (EDSS); a questionnaire method; determination of the Yule's coefficient of association (coefficient of colligation), the separating hyperplane method and the correlation analysis. The indicators of the onset with a high correlation, which have a prognostic value, are defined by means of the Yule's coefficient. To rank the onset indicators by the separating hyperplane method, its diagnostic weight was determined for different variants of prognosis in all types of MS. Correlation relations between the onset indices for each type of MS, were calculated and presented in a graphical form. The correlation analysis of the connections between these indicators is built according to a single algorithm that combines alternative programs of patterns of severe and mild onset, which can subsequently compete with each other for the final outcome of the disease. The results of the clinical-mathematical analysis of the onsets in different types of MS, with a high reliability, indicate a diagnostic informativity of the mentioned investigation methods for further prognosis of the MS disease type.
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