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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2024-04-05T15:20:32Z
dc.date.available2024-04-05T15:20:32Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3098
dc.description.abstractThe event of stroke is seen as a confluence of various anomalies, particularly in diabetic patients. Thus, the random confluence can also be perceived as a disorder of system that might be dictated by the Shannon entropy. In this paper, the idea that stroke is a manifestation of entropy is studied. Basically, the variables that would trigger the event are classified as the causes of disorder of system. Thus, stroke becomes a function as weight of variables. These are mainly glucose, blood pressure, cholesterol, BMI, etc. Numerical results are presented.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectStrokees_PE
dc.subjectShannones_PE
dc.subjectStochastices_PE
dc.titleThe Stroke Event as a Shannon Entropyes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)es_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://doi.org/10.1109/ICECCE61019.2023.10442754es_PE


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