Steps to personalized therapy of multiple sclerosis: predicting safety of treatment using mathematical modeling

Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova
D S KasatkinN N Spirin

Abstract

To construct a mathematical model capable of predicting the drug safety of a patient receiving multiple sclerosis disease modifying drugs (DMD), on a model of flu-like syndrome (FLS). The study included 457 patients with multiple sclerosis (MS), aged from 18 to 68 years, mean 38.79 years, the mean duration of disease 122.58 months. All patients received first-line injections drug (interferon-beta). The sample included data from a three-year prospective dynamic observation with a frequency of observation of 1 every 6 months, with only the data of those examinations for which the presence or absence of FLS was known for the next 6 months (1203 cases). At the first step, the frequency of factors in the compared groups using the W Wald-Wolkovitz test, then the prognostic coefficients (PC) and the Kulbak informativity coefficient (CI) were calculated for each factor gradation. To determine the predictive ability of signs, the Spearman's R criterion was used. At the second step, a model of a two-layer neural network was constructed based on the data obtained. A simple static model and algorithm were developed to assess the risks of the onset and persistence of FLS during the next 6 months of interferon beta therapy. An attempt was al...Continue Reading

References

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Feb 16, 2010·Journal of Biomedical Informatics·Norman Fenton, Martin Neil
Jul 21, 2012·Journal of Neuroscience Methods·Enrique Fernandez-BlancoCristian Robert Munteanu
Jun 16, 2017·Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova·D S KasatkinA S Shytova

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