Browsing by Subject "Stroke"

Now showing items 1-4 of 4

    • Conditional Probability For Identification of High Risk Event of Stroke 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      The beginning of stroke might be identified with a high confident, in particular in those cases where patients have an old diagnosis of type-II diabetes. More than an identification, the behavior of patient can be seen as ...

    • Self-Management to Anticipate Stroke in Diabetic Patients Through Algorithm Based on Probability of Bayes 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      This paper presents a scheme of self-management that employs directly the theorem of Bayes to calculate realistic probabilities to experience stroke in the shortest and middle terms. In concrete the probabilities might be ...

    • Stochastic Hybrid Algorithms to Estimate Stroke in Diabetic Patients 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      Commonly, stroke is strongly related to those periods by which the patient has surpassed high values of glucose as well as when there is evidence of high cholesterol and blood pressure and others minor causes. While a ...

    • The Stroke Event as a Shannon Entropy 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      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. ...