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Author: Alma Y Alanis Publisher: Elsevier ISBN: 0443223408 Category : Computers Languages : en Pages : 154
Book Description
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: Alma Y Alanis Publisher: Elsevier ISBN: 0443223408 Category : Computers Languages : en Pages : 154
Book Description
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: Aileen J. F. King Publisher: Humana ISBN: 9781071603871 Category : Science Languages : en Pages : 342
Book Description
This volume discusses a variety of animal models of diabetes, as well as describes techniques used to study end-points when using these models. The chapters in this book cover topics such as important considerations when working with mouse models of diabetes, highlighting factors that new investigators may not be aware of and some potential pitfalls in experimental outcomes; main characteristics of some commonly used animal models of diabetes research, ranging from mice to primates; animal models used to study specific aspects of beta-cell biology; and a focus on techniques used to assess blood glucose homeostasis, insulin action, and islet function in vivo and ex vivo. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Animal Models of Diabetes: Methods and Protocols is a valuable resource that will help diabetes researchers design and carry out in vivo studies that will best suit their experimental questions and needs.
Author: Wayne Katon Publisher: John Wiley & Sons ISBN: 1119957478 Category : Medical Languages : en Pages : 197
Book Description
In recent years, there has been a growing awareness of the multiple interrelationships between depression and various physical diseases. The WPA is providing an update of currently available evidence on these interrelationships by the publication of three books, dealing with the comorbidity of depression with diabetes, heart disease and cancer. Depression is a frequent and serious comorbid condition in diabetes, which adversely affects quality of life and the long-term prognosis. Co-occurrent depression presents peculiar clinical challenges, making both conditions harder to manage. Depression and Diabetes is the first book devoted to the interaction between these common disorders. World leaders in diabetes, depression and public health synthesize current evidence, including some previously unpublished data, in a concise, easy-to-read format. They provide an overview of the epidemiology, pathogenesis, medical costs, management, and public health and cultural implications of the comorbidity between depression and diabetes. The book describes how the negative consequences of depression in diabetes could be avoided, given that effective depression treatments for diabetic patients are available. Its practical approach makes the book ideal for all those involved in the management of these patients: psychiatrists, psychologists, diabetologists, general practitioners, diabetes specialist nurses and mental health nurses.
Author: Deborah Young-Hyman Publisher: American Diabetes Association ISBN: 1580404391 Category : Psychology Languages : en Pages : 330
Book Description
Psychosocial Care for People with Diabetes describes the major psychosocial issues which impact living with and self-management of diabetes and its related diseases, and provides treatment recommendations based on proven interventions and expert opinion. The book is comprehensive and provides the practitioner with guidelines to access and prescribe treatment for psychosocial problems commonly associated with living with diabetes.
Author: Boris Draznin Publisher: American Diabetes Association ISBN: 1580406572 Category : Medical Languages : en Pages : 338
Book Description
As the number of patients with diabetes increases annually, it is not surprising that the number of patients with diabetes who are admitted to the hospital also increases. Once in the hospital, patients with diabetes or hyperglycemia may be admitted to the Intensive Care Unit, require urgent or elective surgery, enteral or parenteral nutrition, intravenous insulin infusion, or therapies that significantly impact glycemic control (e.g., steroids). Because many clinical outcomes are influenced by the degree of glycemic control, knowledge of the best practices in inpatient diabetes management is extremely important. The field of inpatient management of diabetes and hyperglycemia has grown substantially in the last several years. This body of knowledge is summarized in this book, so it can reach the audience of hospitalists, endocrinologists, nurses and other team members who take care of hospitalized patients with diabetes and hyperglycemia.
Author: Wole Soboyejo Publisher: Cambridge University Press ISBN: 1108963447 Category : Technology & Engineering Languages : en Pages : 374
Book Description
Master simple to advanced biomaterials and structures with this essential text. Featuring topics ranging from bionanoengineered materials to bio-inspired structures for spacecraft and bio-inspired robots, and covering issues such as motility, sensing, control and morphology, this highly illustrated text walks the reader through key scientific and practical engineering principles, discussing properties, applications and design. Presenting case studies for the design of materials and structures at the nano, micro, meso and macro-scales, and written by some of the leading experts on the subject, this is the ideal introduction to this emerging field for students in engineering and science as well as researchers.
Author: National Defense University Publisher: NDU Press ISBN: 1780390408 Category : History Languages : en Pages : 356
Book Description
Despite the vital importance of the emerging area of biotechnology and its role in defense planning and policymaking, no definitive book has been written on the topic for the defense policymaker, the military student, and the private-sector bioscientist interested in the "emerging opportunities market" of national security. This edited volume is intended to help close this gap and provide the necessary backdrop for thinking strategically about biology in defense planning and policymaking. This volume is about applications of the biological sciences, here called "biologically inspired innovations," to the military. Rather than treating biology as a series of threats to be dealt with, such innovations generally approach the biological sciences as a set of opportunities for the military to gain strategic advantage over adversaries. These opportunities range from looking at everything from genes to brains, from enhancing human performance to creating renewable energy, from sensing the environment around us to harnessing its power.
Author: Dr. Oren Sagher Publisher: Oxford University Press ISBN: 0190887680 Category : Medical Languages : en Pages : 201
Book Description
Part of the Neurosurgery by Example series, this volume on pain neurosurgery presents exemplary cases in which renowned authors guide readers through the assessment and planning, decision making, surgical procedure, after care, and complication management of common and uncommon disorders. The cases explore the spectrum of clinical diversity and complexity within pain neurosurgery, including trigeminal neuralgia, postherpetic neuralgia, occipital neuralgia, percutaneous cordotomy for cancer-associated pain, chronic lumbar radiculopathy, and more. Each chapter also contains 'pivot points' that illuminate changes required to manage patients in alternate or atypical situations, and pearls for accurate diagnosis, successful treatment, and effective complication management. Containing a focused review of medical evidence and expected outcomes, Pain Neurosurgery is appropriate for neurosurgeons who wish to learn more about a subspecialty, and those preparing for the American Board of Neurological Surgery oral examination.
Author: Alma Y Alanis
Author: Alma Y Alanis
Author: Aileen J. F. King
Author: Wayne Katon
Author: Deborah Young-Hyman
Author: Boris Draznin
Author: Wole Soboyejo
Author: National Defense University
Author: 
Author: Ben Gold
Author: Dr. Oren Sagher