Dynamic Modeling and Adaptive Forecasting of the Glucose Homeostatic System
Author : Demetrios Maroulis
Publisher :
Page : 444 pages
File Size : 15,70 MB
Release : 1979
Category :
ISBN :
Author : Demetrios Maroulis
Publisher :
Page : 444 pages
File Size : 15,70 MB
Release : 1979
Category :
ISBN :
Author :
Publisher :
Page : 536 pages
File Size : 13,3 MB
Release : 1979
Category : Computer simulation
ISBN :
Author :
Publisher :
Page : 914 pages
File Size : 37,49 MB
Release : 1984
Category : Dissertations, Academic
ISBN :
Author :
Publisher :
Page : 712 pages
File Size : 18,11 MB
Release : 1979
Category : Dissertations, Academic
ISBN :
Author :
Publisher :
Page : 620 pages
File Size : 25,8 MB
Release : 1978
Category : Dissertation abstracts
ISBN :
Author : Alma Y Alanis
Publisher : Elsevier
Page : 154 pages
File Size : 37,85 MB
Release : 2024-05-03
Category : Computers
ISBN : 0443223408
Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment focuses on bio-inspired techniques such as modelling to generate control algorithms for the treatment of diabetes mellitus. The book addresses the identification of diabetes mellitus using a high-order recurrent neural network trained by the extended Kalman filter. The authors also describe the use of metaheuristic algorithms for the parametric identification of compartmental models of diabetes mellitus widely used in research works such as the Sorensen model and the Dallaman model. In addition, the book addresses the modelling of time series for the prediction of risk scenarios such as hyperglycaemia and hypoglycaemia using deep neural networks. The detection of diabetes mellitus in early stages or when current diagnostic techniques cannot detect glucose intolerance or prediabetes is proposed, carried out by means of deep neural networks in force in the literature. Readers will find leading-edge research in diabetes identification based on discrete high-order neural networks trained with the extended Kalman filter; parametric identification of compartmental models used to describe diabetes mellitus; modelling of data obtained by continuous glucose monitoring sensors for the prediction of risk scenarios such as hyperglycaemia and hypoglycaemia; and screening for glucose intolerance using glucose tolerance test data and deep neural networks. Application of the proposed approaches is illustrated via simulation and real-time implementations for modelling, prediction, and classification. Addresses the online identification of diabetes mellitus using a high-order recurrent neural network trained online by an extended Kalman filter. Covers parametric identification of compartmental models used to describe diabetes mellitus. Provides modeling of data obtained by continuous glucose-monitoring sensors for the prediction of risk scenarios such as hyperglycaemia and hypoglycaemia.
Author : Wanda Rae Puckett
Publisher :
Page : 594 pages
File Size : 45,9 MB
Release : 1992
Category :
ISBN :
Author : David Riaño
Publisher : Springer
Page : 431 pages
File Size : 33,75 MB
Release : 2019-06-19
Category : Computers
ISBN : 303021642X
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Author : Per A. Holst
Publisher :
Page : 472 pages
File Size : 29,82 MB
Release : 1979
Category : Computers
ISBN :
Author : Frederick Chee
Publisher : Springer
Page : 167 pages
File Size : 29,46 MB
Release : 2007-10-24
Category : Technology & Engineering
ISBN : 3540740317
This book presents closed-loop blood glucose control in a simple manner, which includes the hardware and "software" components that make up the control system. It provides examples on how mathematical models are formulated as well as the control algorithms that stem from mathematical exercises. The book also describes the basic physiology of blood glucose regulation during fasting and meal from a functional level.