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Author: Yen-Wei Chen
Publisher: Springer Nature
ISBN: 3030326063
Category : Technology & Engineering
Languages : en
Pages : 225
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Book Description
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Author: Yen-Wei Chen
Publisher: Springer Nature
ISBN: 3030326063
Category : Technology & Engineering
Languages : en
Pages : 225
Get Book Here
Book Description
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems. Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data. Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Author: Valentina Emilia Balas
Publisher: Academic Press
ISBN: 0128199202
Category : Science
Languages : en
Pages : 412
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Book Description
Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. - Presents the complete functional framework workflow in IoT-enabled healthcare technologies - Explains concepts of location-aware protocols and decisive mobility in IoT healthcare - Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare - Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare - Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things
Author: Kenneth R. Sutter, 2nd
Publisher:
ISBN: 9781450708999
Category :
Languages : en
Pages : 154
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Book Description
There comes a time when a Paradigm Shift in a specific field is absolutely essential. Obviously there are many Paradigm Shifts attempting to happen right now. People need answers, they are tired of being lied to, they want justice and liberty and all the good things freedom and peace should give you. Some of the Paradigm Shifts are attempts to return to paradigms that did indeed work. Others are brand new paradigms that have been discovered just within the last century. Paradigms that set people free, that make life easier, that make life stable and predictable, and that also throws a little excitement into life. New frontiers to explore. But right at the top of the list is Healthcare. Without your health nothing else is possible, and as it stands right now all most people know about healthcare is disease management. You've been told none of the diseases are curable so you're just going to have to learn how to "manage" them. Innately, you know that is NOT true. Reasoning within yourself. "I was healthy once why can't I be healthy again"? But society has been built around disease creation and management so the answers to your specific health problems evade you, they're hard to find and eventually you give up the search and reluctantly succumb to the same old paradigm of disease management. So a Paradigm Shift in healthcare is desperately needed at this time in history. I could have titled this book "Health Made Easy." As you'll learn, all you really need is a few definitions and the rules that govern health. And they are easy to find in the anatomy and physiology books. One of the oldest tricks in the world is to hide something in plain sight. The Paradigm Shift in Healthcare takes you from discovering what the medical paradigm is and why it can't work "curing" diseases to discovering what the Natural Healing Paradigm is and why it does work eliminating diseases. Its an interesting study and will allow you to make an informed decision on how you want to take care of your health. There are no "cures" as you understand that word. But it is possible to elevate your health. Here are the definitions and rules YOU need to truly enjoy radiant health. Dr. K. R. Sutter II
Author: Joseph A. Balogun
Publisher: Routledge
ISBN: 100031961X
Category : Medical
Languages : en
Pages : 165
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Book Description
This book provides a comprehensive and authoritative assessment of the training of health professionals in Nigeria, looking back to how health care education has evolved in the country over time, before investigating new and emerging trends. The book begins with a discussion of the fundamentals of health care education, the art of teaching health care students, and modeling professionalism in health care. The book highlights the work of pioneer Nigerian health care academics, and explores the administration of health care education at departmental level. Finally, it highlights the role of elite Nigerian health care academics in the diaspora, chronicles contemporary challenges in health care education, and makes recommendations for reform. This book will be of interest to students, scholars, and practitioners working on health care education in Africa.
Author: Harvey Lazar
Publisher: McGill-Queen's Press - MQUP
ISBN: 1553393384
Category : Medical
Languages : en
Pages : 623
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Book Description
Why has health care reform proved a stumbling block for provincial governments across Canada? What efforts have been made to improve a struggling system, and how have they succeeded or failed? In Paradigm Freeze, experts in the field answer these fundamental questions by examining and comparing six essential policy issues - regionalization, needs-based funding, alternative payment plans, privatization, waiting lists, and prescription drug coverage - in five provinces. Noting hundreds of recommendations from dozens of reports commissioned by provincial governments over the last quarter century - the great majority to little or no avail - the book focuses on careful diagnosis, rather than unplanned treatment, of the problem. Paradigm Freeze is based on thirty case studies of policy reform in Alberta, Saskatchewan, Ontario, Quebec, and Newfoundland and Labrador. The contributors assess the nature and extent of healthcare reform in Canada since the beginning of the 1990s. They account for the generally limited extent of reform that has occurred, and identify the factors associated with the relatively few cases of large reform. An insightful new perspective on a problem that has plagued Canadian governments for decades, Paradigm Freeze is an important addition to the field of health policy. Contributors include John Church (University of Alberta), Michael Ducie (Alberta Health and Wellness), Pierre-Gerlier Forest (Pierre Elliott Trudeau Foundation), Stephen Tomblin (Memorial University), Jeff Braun Jackson (Ontario Professional Firefighters Association, Burlington, ON), Marie-Pascale Pomey (Université de Montréal), John N. Lavis (McMaster University), Harvey Lazar (Queen's University), Elisabeth Martin (Université Laval),Tom McIntosh (University of Regina), Dianna Pasic (McMaster University), Neale Smith (University of British Columbia), and Michael G. Wilson (McMaster University).
Author: Sudeep Tanwar
Publisher: Institution of Engineering and Technology
ISBN: 1785618989
Category : Computers
Languages : en
Pages : 432
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Book Description
Hospitals, medical practices and healthcare organizations are implementing new technologies at breakneck speed. Yet privacy and security considerations are often an afterthought, putting healthcare organizations at risk of data security and privacy issues, fines, damage to their reputations, with serious potential consequences for the patients. Electronic Health Record systems (EHRs) consist of clinical notes, patient listings, lab results, imaging results and screening tests. EHRs are growing in complexity over time and requiring increasing amounts of data storage.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309133939
Category : Medical
Languages : en
Pages : 374
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Book Description
As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309132967
Category : Medical
Languages : en
Pages : 359
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Book Description
Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.
Author: National Academies of Sciences Engineering and Medicine
Publisher:
ISBN: 9780309685061
Category :
Languages : en
Pages :
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Book Description
The decade ahead will test the nation's nearly 4 million nurses in new and complex ways. Nurses live and work at the intersection of health, education, and communities. Nurses work in a wide array of settings and practice at a range of professional levels. They are often the first and most frequent line of contact with people of all backgrounds and experiences seeking care and they represent the largest of the health care professions. A nation cannot fully thrive until everyone - no matter who they are, where they live, or how much money they make - can live their healthiest possible life, and helping people live their healthiest life is and has always been the essential role of nurses. Nurses have a critical role to play in achieving the goal of health equity, but they need robust education, supportive work environments, and autonomy. Accordingly, at the request of the Robert Wood Johnson Foundation, on behalf of the National Academy of Medicine, an ad hoc committee under the auspices of the National Academies of Sciences, Engineering, and Medicine conducted a study aimed at envisioning and charting a path forward for the nursing profession to help reduce inequities in people's ability to achieve their full health potential. The ultimate goal is the achievement of health equity in the United States built on strengthened nursing capacity and expertise. By leveraging these attributes, nursing will help to create and contribute comprehensively to equitable public health and health care systems that are designed to work for everyone. The Future of Nursing 2020-2030: Charting a Path to Achieve Health Equity explores how nurses can work to reduce health disparities and promote equity, while keeping costs at bay, utilizing technology, and maintaining patient and family-focused care into 2030. This work builds on the foundation set out by The Future of Nursing: Leading Change, Advancing Health (2011) report.
Author: Vishal Jain
Publisher: Springer Nature
ISBN: 3030408507
Category : Technology & Engineering
Languages : en
Pages : 418
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Book Description
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
