Browsing by Subject "Diabetes"
Now showing items 1-5 of 5
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Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes
(MDPI, 2023)Acceso abiertoEarly detection of diabetes is essential to prevent serious complications in patients. The purpose of this work is to detect and classify type 2 diabetes in patients using machine learning (ML) models, and to select the ... -
Conditional Probability For Identification of High Risk Event of Stroke
(IEEE, 2023)Acceso restringidoThe 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 ... -
Desarrollo de un algoritmo con redes neuronales para la predicción de ACV en pacientes diabéticos
(Universidad Autónoma del Perú, 2021-12-20)Acceso abiertoEl objetivo de esta investigación fue desarrollar un algoritmo basado en redes neuronales para la predicción de ACV focalizado en pacientes diabéticos donde se tuvo como indicadores de predicción a la precisión, accuracy, ... -
Ions Diffusion and Electrodynamics Interactions Inside Pancreatic Beta Cells
(Institute of Electrical and Electronics Engineers, 2020-12-16)Acceso restringidoIn this paper a hybrid scheme given by diffusion equation in conjunction to classical electrodynamics to examine physics-based mechanisms behind the behavior of beta cells, is presented. Particular attention is paid on the ... -
Self-Management to Anticipate Stroke in Diabetic Patients Through Algorithm Based on Probability of Bayes
(IEEE, 2023)Acceso restringidoThis 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 ...
