Prediction Methods For Blood Glucose Concentration

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Prediction Methods For Blood Glucose Concentration

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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.

Simulating Normal And Arrhythmic Dynamics From Sub Cellular To Tissue And Organ Level

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Author : Hans Dierckx
language : en
Publisher: Frontiers Media SA
Release Date : 2019-10-04

Simulating Normal And Arrhythmic Dynamics From Sub Cellular To Tissue And Organ Level written by Hans Dierckx and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with categories.

Knowledge Oriented Applications In Data Mining

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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.

Deep Learning And Neural Networks Concepts Methodologies Tools And Applications

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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

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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

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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

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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

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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

Glucose Sensing

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Author : Chris D. Geddes
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-29

Glucose Sensing written by Chris D. Geddes 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 2007-12-29 with Science categories.

An essential reference for any laboratory working in the analytical fluorescence glucose sensing field. The increasing importance of these techniques is typified in one emerging area by developing non-invasive and continuous approaches for physiological glucose monitoring. This volume incorporates analytical fluorescence-based glucose sensing reviews, specialized enough to be attractive to professional researchers, yet appealing to a wider audience of scientists in related disciplines of fluorescence.

Objective Medical Decision Making Systems Approach In Disease

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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.