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Books > Medicine > General issues > Medical equipment & techniques > General
This special volume contributes to the rapidly growing body of
eHealth research, presenting a selection of multidisciplinary
studies on the role and impacts of technology and the Internet in
health communication, healthcare delivery, and patient
self-management. The use of the Internet and new communication
technologies have impacted nearly every aspect of life in recent
years. These technologies hold tremendous promise to improve
systems of healthcare and enable people to better understand their
health and manage their healthcare. However, there are also risks
to the use of eHealth technologies. Empirical evidence is urgently
needed to examine the use and impacts of eHealth technologies and
to inform targeted health communication interventions. Chapters
explore both old and new challenges associated with
technology-enabled care. These include the persistence of social
determinants in shaping Digital Divides in access and use of
eHealth technologies, the unintended consequences associated with
electronic medical records and pagers on healthcare professionals'
ability to control their work time, and how self-tracking and
quantification may exacerbate gendered norms of the body and
health. Other chapters provide updated information on trends in and
predictors of people's trust of health information channels, how
people make credibility assessments of online health information,
the role of personality traits in perceived benefits in online
support group participation, and how online health resources impact
people's sense of empowerment and the use of healthcare services.
Finally, chapters explore the future potential of eHealth in
addressing the needs of underserved communities and guide the
creation of new technology-enabled intervention strategies.
Many aspects of modern life have become personalized, yet
healthcare practices have been lagging behind in this trend. It is
now becoming more common to use big data analysis to improve
current healthcare and medicinal systems, and offer better health
services to all citizens. Applying Big Data Analytics in
Bioinformatics and Medicine is a comprehensive reference source
that overviews the current state of medical treatments and systems
and offers emerging solutions for a more personalized approach to
the healthcare field. Featuring coverage on relevant topics that
include smart data, proteomics, medical data storage, and drug
design, this publication is an ideal resource for medical
professionals, healthcare practitioners, academicians, and
researchers interested in the latest trends and techniques in
personalized medicine.
The Pacific Symposium on Biocomputing (PSB) 2018 is an
international, multidisciplinary conference for the presentation
and discussion of current research in the theory and application of
computational methods in problems of biological significance.
Presentations are rigorously peer reviewed and are published in an
archival proceedings volume. PSB 2018 will be held on January 3 -
7, 2018 in Kohala Coast, Hawaii.PSB 2018 will bring together top
researchers from the US, the Asian Pacific nations, and around the
world to exchange research results and address open issues in all
aspects of computational biology. It is a forum for the
presentation of work in databases, algorithms, interfaces,
visualization, modeling, and other computational methods, as
applied to biological problems, with emphasis on applications in
data-rich areas of molecular biology.The PSB has been designed to
be responsive to the need for critical mass in sub-disciplines
within biocomputing. For that reason, it is the only meeting whose
sessions are defined dynamically each year in response to specific
proposals. PSB sessions are organized by leaders of research in
biocomputing's 'hot topics.' In this way, the meeting provides an
early forum for serious examination of emerging methods and
approaches in this rapidly changing field.
This book provides a comprehensive overview of different biomedical
data types, including both clinical and genomic data. Thorough
explanations enable readers to explore key topics ranging from
electrocardiograms to Big Data health mining and EEG analysis
techniques. Each chapter offers a summary of the field and a sample
analysis. Also covered are telehealth infrastructure, healthcare
information association rules, methods for mass spectrometry
imaging, environmental biodiversity, and the global nonlinear
fitness function for protein structures. Diseases are addressed in
chapters on functional annotation of lncRNAs in human disease,
metabolomics characterization of human diseases, disease risk
factors using SNP data and Bayesian methods, and imaging
informatics for diagnostic imaging marker selection. With the
exploding accumulation of Electronic Health Records (EHRs), there
is an urgent need for computer-aided analysis of heterogeneous
biomedical datasets. Biomedical data is notorious for its
diversified scales, dimensions, and volumes, and requires
interdisciplinary technologies for visual illustration and digital
characterization. Various computer programs and servers have been
developed for these purposes by both theoreticians and engineers.
This book is an essential reference for investigating the tools
available for analyzing heterogeneous biomedical data. It is
designed for professionals, researchers, and practitioners in
biomedical engineering, diagnostics, medical electronics, and
related industries.
This book presents a comprehensive and up-to-date treatise of a
range of methodological and algorithmic issues. It also discusses
implementations and case studies, identifies the best design
practices, and assesses data analytics business models and
practices in industry, health care, administration and
business.Data science and big data go hand in hand and constitute a
rapidly growing area of research and have attracted the attention
of industry and business alike. The area itself has opened up
promising new directions of fundamental and applied research and
has led to interesting applications, especially those addressing
the immediate need to deal with large repositories of data and
building tangible, user-centric models of relationships in data.
Data is the lifeblood of today's knowledge-driven economy.Numerous
data science models are oriented towards end users and along with
the regular requirements for accuracy (which are present in any
modeling), come the requirements for ability to process huge and
varying data sets as well as robustness, interpretability, and
simplicity (transparency). Computational intelligence with its
underlying methodologies and tools helps address data analytics
needs.The book is of interest to those researchers and
practitioners involved in data science, Internet engineering,
computational intelligence, management, operations research, and
knowledge-based systems.
This book provides an overview of new mathematical models,
computational simulations and experimental tests in the field of
biomedical technology, and covers a wide range of current research
and challenges. The first part focuses on the virtual environment
used to study biological systems at different scales and under
multiphysics conditions. In turn, the second part is devoted to
modeling and computational approaches in the field of
cardiovascular medicine, e.g. simulation of turbulence in
cardiovascular flow, modeling of artificial textile-reinforced
heart valves, and new strategies for reducing the computational
cost in the fluid-structure interaction modeling of hemodynamics.
The book's last three parts address experimental observations,
numerical tests, computational simulations, and multiscale modeling
approaches to dentistry, orthopedics and otology. Written by
leading experts, the book reflects the remarkable advances that
have been made in the field of medicine, the life sciences,
engineering and computational mechanics over the past decade, and
summarizes essential tools and methods (such as virtual prototyping
of medical devices, advances in medical imaging, high-performance
computing and new experimental test devices) to enhance medical
decision-making processes and refine implant design. The contents
build upon the International Conference on Biomedical Technology
2015 (ICTB 2015), the second ECCOMAS thematic conference on
Biomedical Engineering, held in Hannover, Germany in October 2015.
Looking beyond the communications technology horizon and projecting
future competency-specific employment demand, this book presents an
evaluation of desirable information systems enhancements by
integrating two disparate-domain computer ontologies. It provides
readers a fresh solutions approach based on dynamic modeling and
methodological contributions to philosophical and assistive
communications system development in healthcare, addressing the
need for both demand intelligence and practical work environment
support. The pace of change in redefining occupation-specific
employee resourcing needs is unrelenting and continues to
accelerate. And the exponential growth in the demand for healthcare
service delivery is correspondingly daunting. As such, the public
and private sectors are faced with the challenge of sustaining
credible relevant demand intelligence and recruitment practices,
while integration, expansion and enrichment of ostensibly
unconnected ontologies represent key R&D issues.
This volume presents the proceedings of the 3rd ICBHI which took
place in Thessaloniki on 18-21 November, 2017.The area of
biomedical and health informatics is exploding at all scales. The
developments in the areas of medical devices, eHealth and
personalized health as enabling factors for the evolution of
precision medicine are quickly developing and demand the
development of new scaling tools, integration frameworks and
methodologies.
The delivery and availability of information resources is a vital
concern to professionals across multiple fields. This is
particularly vital to data intensive professions, where easy
accessibility to high-quality information is a crucial component of
their research. Library and Information Services for Bioinformatics
Education and Research is an authoritative reference source for the
latest scholarly material on the role of libraries for the
effective delivery of information resources to optimize the study
of biological data. Highlighting innovative perspectives across a
range of topics, such as user assessment, collection development,
and information accessibility, this publication is ideally designed
for professionals, managers, computer scientists, graduate
students, and practitioners actively involved in the field of
bioinformatics.
Designing Healthcare That Works: A Sociotechnical Approach takes up
the pragmatic, messy problems of designing and implementing
sociotechnical solutions which integrate organizational and
technical systems for the benefit of human health. The book helps
practitioners apply principles of sociotechnical design in
healthcare and consider the adoption of new theories of change. As
practitioners need new processes and tools to create a more
systematic alignment between technical mechanisms and social
structures in healthcare, the book helps readers recognize the
requirements of this alignment. The systematic understanding
developed within the book's case studies includes new ways of
designing and adopting sociotechnical systems in healthcare. For
example, helping practitioners examine the role of exogenous
factors, like CMS Systems in the U.S. Or, more globally, helping
practitioners consider systems external to the boundaries drawn
around a particular healthcare IT system is one key to understand
the design challenge. Written by scholars in the realm of
sociotechnical systems research, the book is a valuable source for
medical informatics professionals, software designers and any
healthcare providers who are interested in making changes in the
design of the systems.
The aim of this book is to present a range of analytical methods
that can be used in formulation design and development and focus on
how these systems can be applied to understand formulation
components and the dosage form these build. To effectively design
and exploit drug delivery systems, the underlying characteristic of
a dosage form must be understood--from the characteristics of the
individual formulation components, to how they act and interact
within the formulation, and finally, to how this formulation
responds in different biological environments. To achieve this,
there is a wide range of analytical techniques that can be adopted
to understand and elucidate the mechanics of drug delivery and drug
formulation. Such methods include e.g. spectroscopic analysis,
diffractometric analysis, thermal investigations, surface
analytical techniques, particle size analysis, rheological
techniques, methods to characterize drug stability and release, and
biological analysis in appropriate cell and animal models. Whilst
each of these methods can encompass a full research area in their
own right, formulation scientists must be able to effectively apply
these methods to the delivery system they are considering. The
information in this book is designed to support researchers in
their ability to fully characterize and analyze a range of delivery
systems, using an appropriate selection of analytical techniques.
Due to its consideration of regulatory approval, this book will
also be suitable for industrial researchers both at early stage up
to pre-clinical research.
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