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

Computational Methods for Reproductive and Developmental Toxicology (QSAR in Environmental and Health Sciences) - Mattison D.R.



Computational Methods for Reproductive and Developmental Toxicology (QSAR in Environmental and Health Sciences) - Mattison D.R.

Building from the perspective of reproductive and developmental biology, Computational Methods for Reproductive and Developmental Toxicology provides a timely and comprehensive overview of approaches in reproductive and developmental toxicology.
The book, which is part of the QSAR in Environmental and Health Sciences series, is divided into three broad sections. The first provides a review of methods and approaches to meet the need for safety assessments in product development and regulatory approaches for environmental chemicals. The next one reviews the biological processes and endpoints involved in reproduction and development.
The final and largest section summarizes protocols for evaluating biological processes and endpoints within reproduction and development. It also discusses informatics resources and computational methods.
The book takes a cross-disciplinary approach bringing together developmental, reproductive and systems biology, chemistry, toxicology, pharmacology, biostatistics, information sciences, bioinformatics, and computational approaches. This valuable resource provides those in the field with the necessary knowledge to evaluate both classic and recent approaches to characterize toxicity.

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Systems Design for Remote Healthcare - Maharatna K., Bonfiglio S. - 2014 год



Systems Design for Remote Healthcare - Maharatna K., Bonfiglio S. - 2014 год

This book provides a multidisciplinary overview of the design and implementation of systems for remote patient monitoring and healthcare. Readers are guided step-by-step through the components of such a system and shown how they could be integrated in a coherent framework for deployment in practice. The authors explain planning from subsystem design to complete integration and deployment, given particular application constraints. Readers will benefit from descriptions of the clinical requirements underpinning the entire application scenario, physiological parameter sensing techniques, information processing approaches and overall, application dependent system integration. Each chapter ends with a discussion of practical design challenges and two case studies are included to provide practical examples and design methods for two remote healthcare systems with different needs.

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Data-Driven Healthcare: How Analytics and BI are Transforming the Industry - Madsen Laura B. - 2015 год



Data-Driven Healthcare: How Analytics and BI are Transforming the Industry - Madsen Laura B. - 2015 год

Data is revolutionizing the healthcare industry. With more data available than ever before, and applying the right analytics you can spur growth. Benefits extend to patients, providers, and board members, and the technology can make centralized patient management a reality. Despite the potential for growth, many in the industry and government are questioning the value of data in health care, wondering if it's worth the investment. This book tackles the issue and proves why BI is not only worth it, but necessary for industry advancement. Madsen challenges the notion that data has little value in healthcare, and shows how BI can ease regulatory reporting pressures and streamline the entire system as it evolves. She illustrates how a data-driven organization is created, and how it can transform the industry.

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Human Monitoring, Smart Health and Assisted Living: Techniques and technologies - Longhi Sauro, Monteriù Andrea, Freddi Alessandro



Human Monitoring, Smart Health and Assisted Living: Techniques and technologies - Longhi Sauro, Monteriù Andrea, Freddi Alessandro

Interest in Information and Communication Technologies for human monitoring, smart health and assisted living is growing due to the significant impact that these technologies are expected to have on improving the quality of life of ageing populations around the world.
This book brings together chapters written by a range of researchers working in these topics, providing an overview of the areas and covering current research, developments and applications for a readership of researchers and research-led engineering practitioners. It discusses the promises and the possible advantages of these technologies, and also indicates the challenges for the future. Topics covered include: personal monitoring and health data acquisition in smart homes; contactless monitoring of respiratory activity; technology-based assistance of people with dementia; wearable sensors for gesture analysis; design and prototyping of home automation systems for the monitoring of elderly people; multi-sensor platform for circadian rhythm analysis; smart multi-sensor solutions for activity detection; human monitoring based on heterogeneous sensor networks; mobile health for vital signs and gait monitoring systems; and smartphone-based blood pressure monitoring for falls risk assessment.

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Computational Intelligence Techniques in Health Care - Lakshmi P.V., Zhou W., Satheesh P. - 2016 год



Computational Intelligence Techniques in Health Care - Lakshmi P.V., Zhou W., Satheesh P. - 2016 год

This book presents research on emerging computational intelligence techniques and tools, with a particular focus on new trends and applications in health care. Healthcare is a multi-faceted domain, which incorporates advanced decision-making, remote monitoring, healthcare logistics, operational excellence and modern information systems. In recent years, the use of computational intelligence methods to address the scale and the complexity of the problems in healthcare has been investigated. This book discusses various computational intelligence methods that are implemented in applications in different areas of healthcare. It includes contributions by practitioners, technology developers and solution providers.

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Information Discovery on Electronic Health Records - Hristidis V. - 2010 год



Information Discovery on Electronic Health Records - Hristidis V. - 2010 год

Electronic health records (EHRs) are a key component of the information technology revolution occurring in healthcare. EHRs can help improve the quality of healthcare and reduce healthcare costs. Most of the research efforts so far have studied the important and critical problem of standardization of EHRs and interoperability of healthcare information management systems. However, little work has been conducted on the problem of leveraging the rich information found in EHRs, which can improve the quality of medical practice at the point-of-care, or facilitate research. The information stored in EHRs is valuable for practitioners and researchers from the areas of medicine, public health, nursing, law, and health insurance.

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Foundations of Biomedical Knowledge Representation: Methods and Applications - Hommersom A., Lucas P.J.F. - 2015 год



Foundations of Biomedical Knowledge Representation: Methods and Applications - Hommersom A., Lucas P.J.F. - 2015 год

Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced. Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research. The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations.

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ECG Acquisition and Automated Remote Processing - Gupta R., Mitra M., Bera J. - 2014 год



ECG Acquisition and Automated Remote Processing - Gupta R., Mitra M., Bera J. - 2014 год

The book is focused on the area of remote processing of ECG in the context of telecardiology, an emerging area in the field of Biomedical Engineering Application. Considering the poor infrastructure and inadequate numbers of physicians in rural healthcare clinics in India and other developing nations, telemedicine services assume special importance. Telecardiology, a specialized area of telemedicine, is taken up in this book considering the importance of cardiac diseases, which is prevalent in the population under discussion. The main focus of this book is to discuss different aspects of ECG acquisition, its remote transmission and computerized ECG signal analysis for feature extraction. It also discusses ECG compression and application of standalone embedded systems, to develop a cost effective solution of a telecardiology system.

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Advances in Healthcare Informatics and Analytics - Gupta Ashish, Patel Vimla L., Greenes Robert A. - 2016 год



Advances in Healthcare Informatics and Analytics - Gupta Ashish, Patel Vimla L., Greenes Robert A. - 2016 год

This important new volume presents recent research in healthcare information technology and analytics. Individual chapters look at such issues as the impact of technology failure on electronic prescribing behavior in primary care; attitudes toward electronic health records; a latent growth modeling approach to understanding lifestyle decisions based on patient historical data; designing an integrated surgical care delivery system using axiomatic design and petri net modeling; and failure in a dynamic decision environment, particularly in treating patients with a chronic disease.
Other chapters look at such topics as the impact of information technology integration in integrated delivery systems; operations and supply chain control for inventory management in a health system pharmacy; decision-theoretic assistants based on contextual gesture recognition; evaluating emergency response medical information systems; clinical decision support in critical care; virtual worlds in healthcare; and natural language processing for understanding contraceptive use at the VA.

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Structural Health Monitoring: A Machine Learning Perspective - Farrar C.R., Worden K. - 2013 год



Structural Health Monitoring: A Machine Learning Perspective - Farrar C.R., Worden K. - 2013 год

Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions.
Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies.
Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm
Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms
Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

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