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.

E-MuSER (Enhanced Multiple Sclerosis Expected Rate): a technical improvement

D Frumento
2019-01-01

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/955945
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