The Stroke Event as a Shannon Entropy

dc.creatorNieto-Chaupis, Huber
dc.date.accessioned2024-04-05T15:20:32Z
dc.date.accessioned2024-08-06T21:03:25Z
dc.date.available2024-04-05T15:20:32Z
dc.date.available2024-08-06T21:03:25Z
dc.date.created2024-04-05T15:20:32Z
dc.date.issued2023
dc.identifierhttps://hdl.handle.net/20.500.13067/3098
dc.identifier2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9539433
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.
dc.languageeng
dc.publisherIEEE
dc.relationhttps://doi.org/10.1109/ICECCE61019.2023.10442754
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectStroke
dc.subjectShannon
dc.subjectStochastic
dc.titleThe Stroke Event as a Shannon Entropy
dc.typeinfo:eu-repo/semantics/article


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