dc.contributor.author | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2024-04-05T15:20:32Z | |
dc.date.available | 2024-04-05T15:20:32Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://hdl.handle.net/20.500.13067/3098 | |
dc.description.abstract | The 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.format | application/pdf | es_PE |
dc.language.iso | eng | es_PE |
dc.publisher | IEEE | es_PE |
dc.rights | info:eu-repo/semantics/restrictedAccess | es_PE |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_PE |
dc.subject | Stroke | es_PE |
dc.subject | Shannon | es_PE |
dc.subject | Stochastic | es_PE |
dc.title | The Stroke Event as a Shannon Entropy | es_PE |
dc.type | info:eu-repo/semantics/article | es_PE |
dc.identifier.journal | 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE) | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#2.02.04 | es_PE |
dc.relation.url | https://doi.org/10.1109/ICECCE61019.2023.10442754 | es_PE |