Prediction Methods For Blood Glucose Concentration

DOWNLOAD

Download Prediction Methods For Blood Glucose Concentration PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Prediction Methods For Blood Glucose Concentration book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Prediction Methods For Blood Glucose Concentration

DOWNLOAD
Author : Harald Kirchsteiger
language : en
Publisher: Springer
Release Date : 2015-11-24

Prediction Methods For Blood Glucose Concentration written by Harald Kirchsteiger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-24 with Technology & Engineering categories.

This book tackles the problem of overshoot and undershoot in blood glucose levels caused by delay in the effects of carbohydrate consumption and insulin administration. The ideas presented here will be very important in maintaining the welfare of insulin-dependent diabetics and avoiding the damaging effects of unpredicted swings in blood glucose – accurate prediction enables the implementation of counter-measures. The glucose prediction algorithms described are also a key and critical ingredient of automated insulin delivery systems, the so-called “artificial pancreas”. The authors address the topic of blood-glucose prediction from medical, scientific and technological points of view. Simulation studies are utilized for complementary analysis but the primary focus of this book is on real applications, using clinical data from diabetic subjects. The text details the current state of the art by surveying prediction algorithms, and then moves beyond it with the most recent advances in data-based modeling of glucose metabolism. The topic of performance evaluation is discussed and the relationship of clinical and technological needs and goals examined with regard to their implications for medical devices employing prediction algorithms. Practical and theoretical questions associated with such devices and their solutions are highlighted. This book shows researchers interested in biomedical device technology and control researchers working with predictive algorithms how incorporation of predictive algorithms into the next generation of portable glucose measurement can make treatment of diabetes safer and more efficient.

Knowledge Oriented Applications In Data Mining

DOWNLOAD
Author : Kimito Funatsu
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-01-21

Knowledge Oriented Applications In Data Mining written by Kimito Funatsu and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-21 with Computers categories.

The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by 'Data Mining' address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters. The contributing authors have highlighted many future research directions that will foster multi-disciplinary collaborations and hence will lead to significant development in the field of data mining.

Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach

DOWNLOAD
Author : Anirudh Nath
language : en
Publisher: Academic Press
Release Date : 2022-08-13

Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach written by Anirudh Nath and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-13 with Science categories.

Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach exposes readers to the various existing mathematical models that define the dynamics of glucose-insulin for Type 1 diabetes patients. After providing insights into the mathematical model of patients, the authors discuss the need and emergence of new control techniques that can lead to further development of an artificial pancreas. The book presents various nonlinear control techniques to address the challenges that Type 1 diabetic patients face in maintaining their blood glucose level in the safe range (70-180 mg/dl). The closed-loop solution provided by the artificial pancreas depends mainly on the effectiveness of the control algorithm, which acts as the brain of the system. APS control algorithms require a mathematical model of the gluco-regulatory system of the T1D patients for their design. Since the gluco-regulatory system is inherently nonlinear and largely affected by external disturbances and parametric uncertainty, developing an accurate model is very difficult. - Presents control-oriented modeling of the gluco-regulatory system of Type 1 diabetic patients using input-output data - Demonstrates the design of a robust insulin delivery mechanism utilizing state estimation information with parametric uncertainties and exogenous disturbance in the framework of Linear Matrix Inequality (LMI) - Introduces readers to the relevance and effectiveness of powerful nonlinear controllers for the Artificial Pancreas - Provides the first book on LMI-based nonlinear control techniques for the Artificial Pancreas

Deep Learning And Neural Networks Concepts Methodologies Tools And Applications

DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-10-11

Deep Learning And Neural Networks Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Computers categories.

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Intelligent Computing And Optimization

DOWNLOAD
Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2023-11-10

Intelligent Computing And Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-10 with Technology & Engineering categories.

This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.

Glucose Monitoring Devices

DOWNLOAD
Author : Chiara Fabris
language : en
Publisher: Academic Press
Release Date : 2020-06-02

Glucose Monitoring Devices written by Chiara Fabris and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Science categories.

Glucose Monitoring Devices: Measuring Blood Glucose to Manage and Control Diabetes presents the state-of-the-art regarding glucose monitoring devices and the clinical use of monitoring data for the improvement of diabetes management and control. Chapters cover the two most common approaches to glucose monitoring–self-monitoring blood glucose and continuous glucose monitoring–discussing their components, accuracy, the impact of use on quality of glycemic control as documented by landmark clinical trials, and mathematical approaches. Other sections cover how data obtained from these monitoring devices is deployed within diabetes management systems and new approaches to glucose monitoring. This book provides a comprehensive treatment on glucose monitoring devices not otherwise found in a single manuscript. Its comprehensive variety of topics makes it an excellent reference book for doctoral and postdoctoral students working in the field of diabetes technology, both in academia and industry. - Presents a comprehensive approach that spans self-monitoring blood glucose devices, the use of continuous monitoring in the artificial pancreas, and intraperitoneal glucose sensing - Provides a high-level descriptions of devices, as well as detailed mathematical descriptions of methods and techniques - Written by experts in the field with vast experience in the field of diabetes and diabetes technology

The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy

DOWNLOAD
Author : John MacIntyre
language : en
Publisher: Springer Nature
Release Date : 2020-11-03

The 2020 International Conference On Machine Learning And Big Data Analytics For Iot Security And Privacy written by John MacIntyre and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Computers categories.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

Personalized Predictive Modeling In Type 1 Diabetes

DOWNLOAD
Author : Eleni I. Georga
language : en
Publisher: Academic Press
Release Date : 2017-12-11

Personalized Predictive Modeling In Type 1 Diabetes written by Eleni I. Georga and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-11 with Medical categories.

Personalized Predictive Modeling in Diabetes features state-of-the-art methodologies and algorithmic approaches which have been applied to predictive modeling of glucose concentration, ranging from simple autoregressive models of the CGM time series to multivariate nonlinear regression techniques of machine learning. Developments in the field have been analyzed with respect to: (i) feature set (univariate or multivariate), (ii) regression technique (linear or non-linear), (iii) learning mechanism (batch or sequential), (iv) development and testing procedure and (v) scaling properties. In addition, simulation models of meal-derived glucose absorption and insulin dynamics and kinetics are covered, as an integral part of glucose predictive models. This book will help engineers and clinicians to: select a regression technique which can capture both linear and non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary conditions; ensure the scalability of the optimization algorithm (learning mechanism) with respect to the size of the dataset, provided that multiple days of patient monitoring are needed to obtain a reliable predictive model; select a features set which efficiently represents both spatial and temporal dependencies between the input variables and the glucose concentration; select simulation models of subcutaneous insulin absorption and meal absorption; identify an appropriate validation procedure, and identify realistic performance measures. - Describes fundamentals of modeling techniques as applied to glucose control - Covers model selection process and model validation - Offers computer code on a companion website to show implementation of models and algorithms - Features the latest developments in the field of diabetes predictive modeling

Objective Medical Decision Making Systems Approach In Disease

DOWNLOAD
Author : Dimitris D. Tsiftsis
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-12

Objective Medical Decision Making Systems Approach In Disease written by Dimitris D. Tsiftsis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-12 with Medical categories.

26th Southern Biomedical Engineering Conferencesbec 2010 April 30 May 2 2010 College Park Maryland Usa

DOWNLOAD
Author : Keith Herold
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-15

26th Southern Biomedical Engineering Conferencesbec 2010 April 30 May 2 2010 College Park Maryland Usa written by Keith Herold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-15 with Technology & Engineering categories.

The 26th Southern Biomedical Engineering Conference was hosted by the Fischell Department of Bioengineering and the A. James Clark School of Engineering from April 30 – May 2 2010.. The conference program consisted of 168 oral presentations and 21 poster presentations with approximately 250 registered participants of which about half were students. The sessions were designed along topical lines with student papers mixed in randomly with more senior investigators. There was a Student Competition resulting in several Best Paper and Honorable Mention awards. There were 32 technical sessions occurring in 6-7 parallel sessions. This Proceedings is a subset of the papers submitted to the conference. It includes 147 papers organized in topical areas. Many thanks go out to the paper reviewers who significantly improved the clarity of the submitted papers.