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ISSN: 2644-1381

Current Trends on Biostatistics & Biometrics

Short Communication

E-Muser (Enhanced Multiple Sclerosis Expected Rate): A Technical Improvement

Volume 1 - Issue 3

Davide Frumento*

  • Author Information Open or Close
    • Department of Experimental Medicine, DIMES, University of Genoa, Genoa, Italy

    *Corresponding author: Davide Frumento, Section of Biochemistry, Department of Experimental Medicine, Italy

Received: April 25, 2019;   Published: April 30, 2019

DOI: 10.26717/CTBB.MS.ID.000115

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Abstract

Multiple sclerosis (MS) is an idiopathic chronic inflammatory disease that strikes the Central Nervous System (CNS). Moreover, it is the most diffused disabling neurologic disease, in fact about 12 * 103 new diagnoses/year arise in the United States alone. It is clear that the development of a MS predictive system is necessary, in order to have a reliable biostatistics tool to forecast the incidence value with a significant degree of accuracy in both time and space. Since the reached prevision time was equal to 1 year (namely 2019), the model was ameliorated by unpacking the considered and refined time period. The theoretical MS incidence for 2023 in Italy was calculated to be 12.17% (± 2.04), with a theoretical accuracy of 99.35% (± 1.02). It can be stated E-MuSER (Enhanced Multiple Sclerosis Expected Rate) could reach a higher dependability degree, as well as theoretical accuracy, with the respect to the previous model. Its efficiency will be assessed at the end of year 2023.

Abstract| Introduction| Methods & Results| Conclusion| References|

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