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Swarm Intelligence and its Applications in Biomedical Informatics
discusses Artificial Intelligence applications in medicine and
biology, as well as challenges and opportunities presented in these
arenas. It covers healthcare big data analytics, mobile health,
personalized medicine, and clinical trial data management. The book
shows how Artificial Intelligence can be used for early disease
diagnosis prediction and prognosis, and offers health care case
studies that demonstrate the application of AI and Machine
Learning. Key Coverage: •Covers all major topics of swarm
intelligence research and development such as novel based search
methods and novel optimization algorithm: applications of swarm
intelligence to management problems and swarm intelligence for
real-world application. •Provides a unique insight into the
complex problems of bioinformatics and the innovative solutions
which make up ‘intelligent bioinformatics’. •Covers a wide
range of topics on the role of Artificial Intelligence, Machine
Learning, and Big Data for healthcare applications and deals with
the ethical issues and concerns associated with it. •Explores
applications in different areas of healthcare and highlights the
current research. The book is designed as a reference text and aims
primarily at advanced undergraduates and postgraduate students
studying computer science and bioinformatics. Researchers and
professionals will find this book useful.
The field of medical imaging seen rapid development over the last
two decades and has consequently revolutionized the way in which
modern medicine is practiced. Diseases and their symptoms are
constantly changing therefore continuous updating is necessary for
the data to be relevant. Diseases fall into different categories,
even a small difference in symptoms may result in categorising it
in a different group altogether. Thus analysing data accurately is
of critical importance. This book concentrates on diagnosing
diseases like cancer or tumor from different modalities of images.
This book is divided into the following domains: Importance of big
data in medical imaging, pre-processing, image registration,
feature extraction, classification and retrieval. It is further
supplemented by the medical analyst for a continuous treatment
process. The book provides an automated system that could retrieve
images based on user's interest to a point of providing decision
support. It will help medical analysts to take informed decisions
before planning treatment and surgery. It will also be useful to
researchers who are working in problems involved in medical
imaging.
The field of medical imaging seen rapid development over the last
two decades and has consequently revolutionized the way in which
modern medicine is practiced. Diseases and their symptoms are
constantly changing therefore continuous updating is necessary for
the data to be relevant. Diseases fall into different categories,
even a small difference in symptoms may result in categorising it
in a different group altogether. Thus analysing data accurately is
of critical importance. This book concentrates on diagnosing
diseases like cancer or tumor from different modalities of images.
This book is divided into the following domains: Importance of big
data in medical imaging, pre-processing, image registration,
feature extraction, classification and retrieval. It is further
supplemented by the medical analyst for a continuous treatment
process. The book provides an automated system that could retrieve
images based on user's interest to a point of providing decision
support. It will help medical analysts to take informed decisions
before planning treatment and surgery. It will also be useful to
researchers who are working in problems involved in medical
imaging.
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