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Books > Medicine > Nursing & ancillary services
Applications of Big Data in Healthcare: Theory and Practice begins
with the basics of Big Data analysis and introduces the tools,
processes and procedures associated with Big Data analytics. The
book unites healthcare with Big Data analysis and uses the
advantages of the latter to solve the problems faced by the former.
The authors present the challenges faced by the healthcare
industry, including capturing, storing, searching, sharing and
analyzing data. This book illustrates the challenges in the
applications of Big Data and suggests ways to overcome them, with a
primary emphasis on data repositories, challenges, and concepts for
data scientists, engineers and clinicians. The applications of Big
Data have grown tremendously within the past few years and its
growth can not only be attributed to its competence to handle large
data streams but also to its abilities to find insights from
complex, noisy, heterogeneous, longitudinal and voluminous data.
The main objectives of Big Data in the healthcare sector is to come
up with ways to provide personalized healthcare to patients by
taking into account the enormous amounts of already existing data.
The only comprehensive book on geriatric occupational therapy
designed specifically for the COTA, Occupational Therapy with
Elders: Strategies for the COTA, 3rd Edition provides in-depth
coverage of each aspect of geriatric practice, from wellness and
prevention to death and dying. A discussion of foundational
concepts includes aging trends and strategies for elder care, and
coverage of emerging areas includes low-vision rehabilitation,
mobility issues including driving, and Alzheimer's disease and
other forms of dementia. Expert authors Rene Padilla, Sue
Byers-Connon, and Helene Lohman offer an unmatched discussion of
diverse populations and the latest on geriatric policies and
procedures in this fast-growing area of practice. Unique! A focus
on the occupational therapy assistant highlights the importance of
COTAs to the care of elder clients. Case studies illustrate
principles and help you apply what you've learned to actual
situations. Key terms, chapter objectives, and review questions
highlight important content in each chapter. Use of the term
"elder" reduces the stereotypical role of dependent patients and
helps to dispel myths about aging. A multidisciplinary approach
demonstrates how the OT and the COTA can collaborate effectively.
Unique! Attention to diverse populations and cultures prepares you
to respect and care for clients of different backgrounds. Unique!
The companion Evolve website makes review easier with more learning
activities, references linked to MEDLINE abstracts, and links to
related OT sites. Unique! A discussion of elder abuse, battered
women, and literacy includes information on how the COTA can
address these often-overlooked issues. New information on
alternative treatment settings for elders reflects new trends in OT
care. Updated information on Medicare, Medicaid, and HIPAA
regulations discusses the latest policies and how to incorporate
the newest procedures into practice. Significant additions are made
to the chapters on public policy, dementia, and oncology.
Nature-Inspired Optimization Algorithms, Second Edition provides an
introduction to all major nature-inspired algorithms for
optimization. The book's unified approach, balancing algorithm
introduction, theoretical background and practical implementation,
complements extensive literature with case studies to illustrate
how these algorithms work. Topics include particle swarm
optimization, ant and bee algorithms, simulated annealing, cuckoo
search, firefly algorithm, bat algorithm, flower algorithm, harmony
search, algorithm analysis, constraint handling, hybrid methods,
parameter tuning and control, and multi-objective optimization.
This book can serve as an introductory book for graduates, for
lecturers in computer science, engineering and natural sciences,
and as a source of inspiration for new applications.
Second-Order Consensus of Continuous-Time Multi-Agent Systems
focuses on the characteristics and features of second-order agents,
communication networks, and control protocols/algorithms in
continuous consensus of multi-agent systems. The book provides
readers with background on consensus control of multi-agent systems
and introduces the intrinsic characteristics of second-order
agents' behavior, including the development of continuous control
protocols/algorithms over various types of underlying communication
networks, as well as the implementation of computation- and
communication-efficient strategies in the execution of
protocols/algorithms. The book's authors also provide coverage of
the frameworks of stability analysis, algebraic criteria and
performance evaluation. On this basis, the book provides an
in-depth study of intrinsic nonlinear dynamics from agents'
perspective, coverage of unbalanced directed topology, random
switching topology, event-triggered communication, and random link
failure, from a communication networks' perspective, as well as
leader-following control, finite-time control, and global consensus
control, from a protocols/algorithms' perspective. Finally,
simulation results including practical application examples are
presented to illustrate the effectiveness and the practicability of
the control protocols and algorithms proposed in this book.
3D Printing in Medicine and Surgery: Applications in Healthcare is
an advanced book on surgical and enhanced medical applications that
can be achieved with 3D printing. It is an essential handbook for
medical practitioners, giving access to a range of practical
methods, while also focusing on applied knowledge. This
comprehensive resource features practical experiments and processes
for preparing 3D printable materials. Early chapters cover
foundational knowledge and background reading, while later chapters
discuss and review the current technologies used to engineer
specific tissue types, experiments and methods, medical approaches
and the challenges that lie ahead for future research. The book is
an indispensable reference guide to the various methods used by
current medical practitioners working at the forefront of 3D
printing applications in medicine.
Metallic Biomaterials Processing and Medical Device Manufacturing
details the principles and practices of the technologies used in
biomaterials processing and medical device manufacturing. The book
reviews the main categories of metallic biomaterials and the
essential considerations in design and manufacturing of medical
devices. It bridges the gap between the designing of biomaterials
and manufacturing of medical devices including requirements and
standards. Main themes of the book include, manufacturing, coatings
and surface modifications of medical devices, metallic biomaterials
and their mechanical behaviour, degradation, testing and
characterization, and quality controls, standards and FDA
regulations of medical devices. The leading experts in the filed
discuss the requirements, challenges, recent progresses and future
research directions in the processing of materials and
manufacturing of medical devices. Metallic Biomaterials Processing
and Medical Device Manufacturing is ideal for those working in the
disciplines of materials science, manufacturing, biomedical
engineering, and mechanical engineering.
Osseoconductive Surface Engineering for Orthopedic Implants
provides a comprehensive overview of the state of the art of
osseointegration based on surface-mediated engineering. It offers a
practical approach to the design and development of implant surface
engineering, by reviewing and discussing the usability and efficacy
of each processing technique. The reader can learn about the
variety, characteristics, advantages, challenges, and optimum
parameters for each process-enabling targeted selection of coatings
and technologies to enhance long-term implant-bone integration.
An Introduction to Hypergeometric, Supertigonometric, and
Superhyperbolic Functions gives a basic introduction to the newly
established hypergeometric, supertrigonometric, and superhyperbolic
functions from the special functions viewpoint. The special
functions, such as the Euler Gamma function, the Euler Beta
function, the Clausen hypergeometric series, and the Gauss
hypergeometric have been successfully applied to describe the
real-world phenomena that involve complex behaviors arising in
mathematics, physics, chemistry, and engineering.
Machine Learning and the Internet of Medical Things in Healthcare
discusses the applications and challenges of machine learning for
healthcare applications. The book provides a platform for
presenting machine learning-enabled healthcare techniques and
offers a mathematical and conceptual background of the latest
technology. It describes machine learning techniques along with the
emerging platform of the Internet of Medical Things used by
practitioners and researchers worldwide. The book includes deep
feed forward networks, regularization, optimization algorithms,
convolutional networks, sequence modeling, and practical
methodology. It also presents the concepts of the Internet of
Things, the set of technologies that develops traditional devices
into smart devices. Finally, the book offers research perspectives,
covering the convergence of machine learning and IoT. It also
presents the application of these technologies in the development
of healthcare frameworks.
The last decade has seen enormous upheaval within all aspects of
health care, and the gastrointestinal/ gastroenterology (GI)
service has been no exception. Increasing demand for new and
established diagnostic and interventional procedures has encouraged
innovative models of service delivery, resulting in a range of
health professionals crossing traditional practice boundaries. In
particular, nurses and radiographers have seized the opportunity to
develop their scope of practice, managing a range of procedures
including colonoscopy, barium studies and CT colonography. This
has, in many cases, freed both radiologists and gastroenterologists
to take on new roles in the interventional service. The development
of new procedures and new ways of working has promoted a renewed
enthusiasm for critical evaluation of the GI service as a whole. As
practitioners and clinicians learn new skills and extend their
scope of practice it is essential that they have a thorough
understanding of the basis of safe, effective and evidence based
practice. This book offers the reader a detailed overview of the
range of imaging procedures that may be employed in the
investigation of gastrointestinal tract pathology, and explores
current practice related to the subsequent patient care pathways
and treatment options. It has been designed as a detailed reference
guide for all health professionals who have a direct involvement in
the GI tract and its imaging, including those who may be referring
patients for GI radiological investigation, those professionals who
are performing and subsequently reporting the procedures, and the
clinicians responsible for the subsequent patient management. This
book offers a unique insight into the rapidly changing radiology
service, and offers introductory chapters which provide the
fundamental underpinning knowledge required for safe and effective
GI practice. Subsequent chapters discuss the evidence base related
to a range of imaging procedures suitable for investigation of
upper and lower GI symptoms, supported by key pathology chapters.
The book also explores the range of treatments available for the
more common GI tract pathology. Multi professional authorship.
Detailed evidence-informed explanations of a range of individual GI
procedures, including suggestions for problem solving and
adaptation of technique. With extensive illustrations, medical
images, boxes and tables. References and further reading. /ul>
Computational Intelligence and Its Applications in Healthcare
presents rapidly growing applications of computational intelligence
for healthcare systems, including intelligent synthetic characters,
man-machine interface, menu generators, user acceptance analysis,
pictures archiving, and communication systems. Computational
intelligence is the study of the design of intelligent agents,
which are systems that act intelligently: they do what they think
are appropriate for their circumstances and goals; they're flexible
to changing environments and goals; they learn from experience; and
they make appropriate choices given perceptual limitations and
finite computation. Computational intelligence paradigms offer many
advantages in maintaining and enhancing the field of healthcare.
In general, every problem of science and engineering is governed by
mathematical models. There is often a need to model, solve and
interpret the problems one encounters in the world of practical
problems. Models of practical application problems usually need to
be handled by efficient computational models. New Paradigms in
Computational Modeling and Its Applications deals with recent
developments in mathematical methods, including theoretical models
as well as applied science and engineering. The book focuses on
subjects that can benefit from mathematical methods with concepts
of simulation, waves, dynamics, uncertainty, machine intelligence,
and applied mathematics. The authors bring together leading-edge
research on mathematics combining various fields of science and
engineering. This perspective acknowledges the inherent
characteristic of current research on mathematics operating in
parallel over different subject fields. New Paradigms in
Computational Modeling and Its Applications meets the present and
future needs for the interaction between various science and
technology/engineering areas on the one hand and different branches
of mathematics on the other. As such, the book contains 13 chapters
covering various aspects of computational modeling from theoretical
to application problems. The first six chapters address various
problems of structural and fluid dynamics. The next four chapters
include solving problems where the governing parameters are
uncertain regarding fuzzy, interval, and affine. The final three
chapters will be devoted to the use of machine intelligence in
artificial neural networks.
As technology continues to develop, the healthcare industry must
adapt and implement new technologies and services. Recent
advancements, opportunities, and challenges for bio-medical image
processing and authentication in telemedicine must be considered to
ensure patients receive the best possible care. Advancements in
Bio-Medical Image Processing and Authentication in Telemedicine
introduces recent advancements, opportunities, and challenges for
bio-medical image processing and authentication in telemedicine and
discusses the design of high-accuracy decision support systems.
Covering key topics such as artificial intelligence, medical
imaging, telemedicine, and technology, this premier reference
source is ideal for medical professionals, nurses, policymakers,
researchers, scholars, academicians, practitioners, instructors,
and students.
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.
Nanoemulsions are produced by mixing an oil phase with an aqueous
phase under shear pressure. This procedure yields uniform
populations of oil droplets ranging in diameter from 200 to 8 nm
that are kinetically stable colloidal substances with enhanced
properties compared to the conventional emulsion substances.
Nanoemulsions have broad potential applications in agriculture,
food, health, and biomedical sciences. Nanoemulsion Applications in
Agriculture, Food, Health, and Biomedical Sciences focuses on the
aspects of nanoemulsion-like synthesis, characterization, and more
and examines recent trends in their applications within a variety
of relevant fields. Nanoemulsions have broad application in many
different fields; without emulsification, process product
development would not be possible. Covering topics such as cancer
treatment, healthcare applications, and food manufacturing, this
book is essential for scientists, doctors, researchers,
post-graduate students, medical students, government officials,
hospital directors, professors, and academicians.
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