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Computational Intelligence Techniques in Health Care

von
Springer Singapore,
E-Book ( PDF mit Adobe DRM )
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Kurzbeschreibung

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.

Details
Schlagworte
Autor

Titel: Computational Intelligence Techniques in Health Care
Autoren/Herausgeber: P.V. Lakshmi, Wengang Zhou, P Satheesh (Hrsg.)
Aus der Reihe: Springer Briefs in Forensic and Medical Bioinformatics
Ausgabe: 1st ed. 2016

ISBN/EAN: 9789811003080

Seitenzahl: 100
Produktform: E-Book
Sprache: Englisch

Prof. P. V. Lakshmi is working with
GITAM University, Andhra Pradesh, India. She is the professor and BOS chairman
in the department of Information Technology and is a member of the Academic
council. She has organized several conferences, workshops and seminars. She is
the author of the book “Discrete Mathematical Structures”. She has published peer-reviewed
papers in reputed international journals and conferences. She is Principal
Investigator of research project from Government. She is a life member of the
cryptology society of India, computer society of India and also member of other
professional bodies like IAENG, Bioinformatics.Org, IACSIT, IETE, IEEE etc. Her
current research interest includes cryptography, bioinformatics, network
security, data analytics and image processing.
Dr. Wengang Zhou is a
research scientist and project manager at DuPont Pioneer since 2011. He led a
team of scientists and software engineers to build multiple large-scale data
analysis pipelines, data repositories, and visualization software used by the
entire company. He is the nominee of many biotechnology   research awards in DuPont in the past
several years, and collaborated with multiple academic institutions on gene
discovery initiatives. He has over 20 conference and journal publications, as
well as 4 patent applications by 2015. He was the principle investigator for a
few university funded projects, and key members of multiple NSF funded
projects. He is an editorial board member of International Journal of
Computational Intelligence and Soft Computing, and JBR Journal of Translational
Biomarkers & Diagnosis. He also serves as invited reviewers for a number of
prestigious journals including BMC genomics, IEEE Transactions on Computational
Biology and Bioinformatics, and International Journal of Data Mining and
Bioinformatics. His current research interests include cancer diagnostics, data
mining, machine learning, genomics, biomarker discovery, and bioinformatics.
Dr. P. Satheesh is an Associate Professor at MVGR College, Vizianagaram,
Andhra Pradesh, India. His area of interest is Bioinformatics. He is a member
of professional societies like IAEME, IAENG, IEEE, CSI and ACM.

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