Personalized Predictive Modelling in Type1 Diabetes

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Read or download book entitled Personalized Predictive Modelling in Type1 Diabetes written by Eleni I. Georga and published by Academic Press in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that Personalized Predictive Modelling in Type1 Diabetes book is available in the library.

  • Publisher : Academic Press
  • Release : 24 November 2017
  • ISBN : 012804831X
  • Page : 300 pages
  • Rating : 4.5/5 from 103 voters

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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

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Personalized Predictive Modelling in Type1 Diabetes

Personalized Predictive Modelling in Type1 Diabetes
  • Author : Eleni I. Georga,Dimitrios I. Fotiadis,Stelios K. Tigas
  • Publisher : Academic Press
  • Release Date : 2017-11-24
  • ISBN : 012804831X
GET THIS BOOKPersonalized Predictive Modelling in Type1 Diabetes

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

Personalized Predictive Modeling in Type 1 Diabetes

Personalized Predictive Modeling in Type 1 Diabetes
  • Author : Eleni I. Georga,Dimitrios I Fotiadis,Stelios K. Tigas
  • Publisher : Academic Press
  • Release Date : 2017-12-11
  • ISBN : 9780128051467
GET THIS BOOKPersonalized Predictive Modeling in Type 1 Diabetes

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

Data-driven Modeling for Diabetes

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  • Author : Vasilis Marmarelis,Georgios Mitsis
  • Publisher : Springer Science & Business
  • Release Date : 2014-04-22
  • ISBN : 9783642544644
GET THIS BOOKData-driven Modeling for Diabetes

This contributed volume presents computational models of diabetes that quantify the dynamic interrelationships among key physiological variables implicated in the underlying physiology under a variety of metabolic and behavioral conditions. These variables comprise for example blood glucose concentration and various hormones such as insulin, glucagon, epinephrine, norepinephrine as well as cortisol. The presented models provide a powerful diagnostic tool but may also enable treatment via long-term glucose regulation in diabetics through closed-look model-reference control using frequent insulin infusions, which are

Neural Information Processing

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  • Author : Tom Gedeon,Kok Wai Wong,Minho Lee
  • Publisher : Springer Nature
  • Release Date : 2019-12-10
  • ISBN : 9783030367183
GET THIS BOOKNeural Information Processing

The three-volume set of LNCS 11953, 11954, and 11955 constitutes the proceedings of the 26th International Conference on Neural Information Processing, ICONIP 2019, held in Sydney, Australia, in December 2019. The 173 full papers presented were carefully reviewed and selected from 645 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11955, is organized in topical sections on semantic and graph based approaches; spiking neuron and related models; text computing using

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  • Author : Lazaros Iliadis,John Macintyre,Chrisina Jayne,Elias Pimenidis
  • Publisher : Springer Nature
  • Release Date : 2021-06-23
  • ISBN : 9783030805685
GET THIS BOOKProceedings of the 22nd Engineering Applications of Neural Networks Conference

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection,

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  • Author : Chi-Sing Leung,Minho Lee,Jonathan H. Chan
  • Publisher : Springer
  • Release Date : 2009-12-15
  • ISBN : 9783642106842
GET THIS BOOKNeural Information Processing

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King

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  • Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
  • Publisher : Academic Press
  • Release Date : 2021-10-22
  • ISBN : 9780128220627
GET THIS BOOKArtificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book

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  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2021-07-07
  • ISBN : 9780128144268
GET THIS BOOKBiopharmaceutics and Pharmacokinetics Considerations

Biopharmaceutics and Pharmacokinetics Considerations examines the history of biopharmaceutics and pharmacokinetics. The book provides a biopharmaceutics and pharmacokinetics approach to addressing issues in formulation development and ethical considerations in handling animals. Written by experts in the field, this volume within the Advances in Pharmaceutical Product Development and Research series deepens understanding of biopharmaceutics and pharmacokinetics within drug discovery and drug development. Each chapter delves into a particular aspect of this fundamental field to cover the principles, methodologies and technologies employed

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Genomic and Personalized Medicine
  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2008-11-11
  • ISBN : 0080919030
GET THIS BOOKGenomic and Personalized Medicine

This two-volume set — winner of a 2013 Highly Commended BMA Medical Book Award for Medicine — provides an in-depth look at one of the most promising avenues for advances in the diagnosis, prevention and treatment of human disease. The inclusion of the latest information on diagnostic testing, population screening, predicting disease susceptibility, pharmacogenomics and more presents this book as an essential tool for both students and specialists across many biological and medical disciplines, including human genetics and genomics, oncology, neuroscience, cardiology, infectious

Handbook of Diabetes Technology

Handbook of Diabetes Technology
  • Author : Yves Reznik
  • Publisher : Springer
  • Release Date : 2019-01-31
  • ISBN : 9783319981192
GET THIS BOOKHandbook of Diabetes Technology

This book covers the main fields of diabetes management through applied technologies. The different chapters include insulin therapy through basic insulin injection therapy, external and implantable insulin pumps and the more recent approaches such as sensor augmented pumps and close-loop systems. Islet transplantation is also described through its technical aspects and clinical evaluation. Glucose measurement through blood glucose meters and continuous glucose monitoring systems are comprehensively explained. Educational tools including videogames and software dedicated to diabetes management are depicted. Lastly,

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Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions
  • Author : Fotiadis, Dimitrios I.
  • Publisher : IGI Global
  • Release Date : 2015-08-26
  • ISBN : 9781466688292
GET THIS BOOKHandbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions

Stemming from environmental, genetic, and situational factors, chronic disease is a critical concern in modern medicine. Managing treatment and controlling symptoms is imperative to the longevity and quality of life of patients with such diseases. The Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions features current research on the diagnosis, monitoring, management, and treatment of recurring diseases such as diabetes, Parkinson's disease, autoimmune disorders, and others. This handbook is intended for practitioners and researchers across

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  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release Date : 2012-12-26
  • ISBN : 9781464993671
GET THIS BOOKGlucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition

Glucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Glucose Metabolism Disorders. The editors have built Glucose Metabolism Disorders—Advances in Research and Treatment: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Glucose Metabolism Disorders in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Glucose Metabolism

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  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release Date : 2018-08-03
  • ISBN : 9781522569169
GET THIS BOOKHealthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications

Industry professionals, government officials, and the general public often agree that the modern healthcare system is in need of an overhaul. With many organizations concerned with the long-term care of patients, new strategies, practices, and organizational tools must be developed to optimize the current healthcare system. Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications is a comprehensive source of academic material on the importance of policy and policy reform initiatives in modern healthcare systems. Highlighting a range of topics

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  • Author : Chiara Fabris,Boris Kovatchev
  • Publisher : Academic Press
  • Release Date : 2020-06-02
  • ISBN : 9780128168844
GET THIS BOOKGlucose Monitoring Devices

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

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  • Author : Kewal K. Jain
  • Publisher : Springer Nature
  • Release Date : 2020-12-05
  • ISBN : 9783030620806
GET THIS BOOKTextbook of Personalized Medicine

This book is for personalized medicine as a prescription of specific treatments and therapeutics best suited for an individual and considers genetic as well as environmental factors that influence responses to therapy. Best approaches are described for integration of all available technologies for optimizing the therapy of individual patients. This comprehensive third edition covers the latest advances in personalized medicine and several chapters are devoted to various specialties, particulary cancer which is the largest area of application. The book discusses