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Med-books.by - Библиотека медицинской литературы » Медицинская информатика

Innovation in Medicine and Healthcare 2016 - Chen Y.-W., Tanaka S., Howlett R.J., Jain, L.C. - 2016 год - 315 с.



Innovation in Medicine and Healthcare 2016 - Chen Y.-W., Tanaka S., Howlett R.J., Jain, L.C. - 2016 год - 315 с.

Presents how recent innovation, knowledge exchange and enterprise can be applied to issues relating to medicine, surgery, healthcare and the issues of an ageing population
Proceedings of the third International Conference Innovation in Medicine and Healthcare 2016 held on 15-17 June 2016 in Puerto de la Cruz, Tenerife, Spain
A central theme is Smart Medical and Healthcare Systems which featuring the ways in which modern intelligent systems contribute to the solution of problems faced by healthcare and medical practitioners today
Interesting for researchers, students, engineers, and professionals working in the medical systems, medical technology and intelligent systems fields.

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Electronic Health Records - Carter J.H. - 2008 год - 552 с.



Electronic Health Records - Carter J.H. - 2008 год - 552 с.

The main goal of this book is to provide practical information and guidance to those interested in implementing an EHR. We have retained the overall organization from the first edition in which the book is divided into two major parts. Part One consists of 13 chapters that are best thought of as indepth tutorials that address major technical and policy issues such as hardware, database systems, informatics standards, decision-support, and security and confidentiality. When applicable, references/resources for further reading are provided.
Part Two has a completely different approach. It is designed as a "Workbook". Here the goal is to offer practical advice on the actual steps involved in selecting and implementing an EHR. In response to the many questions received regarding the best way to select an EHR product, Part Two is now divided into separate "Selection" and "Implementation" sections. We have strived to better explain how to select the best EHR for your office by offering a method with clearly defined steps and outcomes based on the authors' real-world experiences.

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Smart Technologies in Healthcare - Bouchard Bruno - 2017 год - 236 с.



Smart Technologies in Healthcare - Bouchard Bruno - 2017 год - 236 с.

Assistive technologies for the old and people with disabilities is now a very active field of research. It also constitutes a very profitable market (expected to reach US $60 billion p.a. by 2018). The book covers key aspects of this important field and provides guidelines for developing assistive technologies in smart environments. The book also presents the new paradigm of open innovation used by the most prolific research teams around the world. The latest developments in the field are given. Overall this book will be a reference for researchers, practitioners and engineers.

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High-performance computing in biomedicine - Bogoslovskiy N.N., Borisov A.V. - 2016 год



High-performance computing in biomedicine - Bogoslovskiy N.N., Borisov A.V. - 2016 год

Study Guide is designed according to the topics of seminars and the syllabus of the course in High-Performance Computing in Biomedicine for students of the Faculty of Physics, subject area 03.04.02 Physics.
The course primarily aims to introduce students to the modern approaches and software products to conduct studies and perform modelling of the human body. The Study Guide includes the instructions on conducting the laboratory practicums and applying the examples of algorithms to computing.
For faculty, postgraduates, masters.

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Adrenal Imaging - Blake M.A., Boland G. - 2009 год - 223 с.



Adrenal Imaging - Blake M.A., Boland G. - 2009 год - 223 с.

Imaging of the adrenal gland has made tremendous progress in the last decade as new technologies continue to evolve. Adrenal Imaging highlights the pertinent clinical and pathological information that underpins the accurate interpretation and use of adrenal imaging. Written by a prestigious group of international contributors, individual chapters in Adrenal Imaging serve as a relevant and up-to-date reference of adrenal imaging findings, algorithms and techniques in CT, MR nuclear medicine, intervention, and trauma. Summary sections at the end of each chapter illuminate key teaching points to enhance retention.

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Internet of Things and Big Data Technologies for Next Generation Healthcare - Bhatt Chintan, Dey Nilanjan, Ashour Amira S



Internet of Things and Big Data Technologies for Next Generation Healthcare - Bhatt Chintan, Dey Nilanjan, Ashour Amira S

This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics.

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Clinical Decision Support Systems: Theory and Practice - Berner E.S. - 2016 год - 319 с.



Clinical Decision Support Systems: Theory and Practice - Berner E.S. - 2016 год - 319 с.

Building on the success of the previous editions, this fully updated book once again brings together worldwide experts to illustrate the underlying science and day-to-day use of decision support systems in clinical and educational settings.

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Neural Networks in Healthcare. Potential and Challenges - Begg R., Kamruzzaman J., Sarker R. - 2006 год



Neural Networks in Healthcare. Potential and Challenges - Begg R., Kamruzzaman J., Sarker R. - 2006 год

Artificial neural networks are learning machines inspired by the operation of the human brain, and they consist of many artificial neurons connected in parallel. These networks work via non-linear mapping techniques between the inputs and outputs of a model indicative of the operation of a real system. Although introduced over 40 years ago, many wonderful new developments in neural networks have taken place as recently as during the last decade or so. This has led to numerous recent applications in many fields, especially when the input-output relations are too complex and difficult to express using formulations.
Healthcare costs around the globe are on the rise, and therefore there is strong need for new ways of assisting the requirements of the healthcare system. Besides applications in many other areas, neural networks have naturally found many promising applications in the health and medicine areas. This book is aimed at presenting some of these interesting and innovative developments from leading experts and scientists working in health, biomedicine, biomedical engineering, and computing areas. The book covers many important and state-ofthe- art applications in the areas of medicine and healthcare, including cardiology, electromyography, electroencephalography, gait and human movement, therapeutic drug monitoring for patient care, sleep apnea, and computational fluid dynamics areas.

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How Modeling Can Inform Strategies to Improve Population Health - Alper Joe et al. - 2016 год



How Modeling Can Inform Strategies to Improve Population Health - Alper Joe et al. - 2016 год

Institute of Medicine. National Academies of Sciences, Engineering, and Medicine
This volume explores the potential uses of simulation and other types of modeling for the purpose of selecting and refining potential strategies, ranging from interventions to investments, to improve the health of communities and the nation's health.
Participants worked to identify how modeling could inform population health decision making based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and opportunities to leverage existing data and to collect new data for modeling.
The issue summarizes the presentations and discussions on this theme.

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