Details
Computational Intelligence Techniques in Health Care
SpringerBriefs in Applied Sciences and Technology
|
53,49 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 20.04.2016 |
| ISBN/EAN: | 9789811003080 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
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.<br>
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.<br>
<p>Bioinformatics, genomics and diabetes.-
Coralyne targets proteases involved cancer progression: An <i>InSilico</i> study.- Computational Intelligence Approach for Prediction
Of Breast Cancer Using Particle Swarm Optimization: A Comparative Study Of The
Results With Reduced Set Of Attributes.- QSAR and validation analysis on
MMP-13 Inhibitors.- Detection
of Lesion in Mammogram Images using Differential Evolution based Automatic
Fuzzy Clustering.- Sequence Alignment By Advanced Differential Evolutionary
Algorithm (ADE).- Swarm Intelligence
and Variable Precision Rough Set Model: A Hybrid Approach for Classification.-
Ayush To Kidney (Atok) Data Science Model for Diagnosis and to Advice
Through an Expert System.</p><br>
Coralyne targets proteases involved cancer progression: An <i>InSilico</i> study.- Computational Intelligence Approach for Prediction
Of Breast Cancer Using Particle Swarm Optimization: A Comparative Study Of The
Results With Reduced Set Of Attributes.- QSAR and validation analysis on
MMP-13 Inhibitors.- Detection
of Lesion in Mammogram Images using Differential Evolution based Automatic
Fuzzy Clustering.- Sequence Alignment By Advanced Differential Evolutionary
Algorithm (ADE).- Swarm Intelligence
and Variable Precision Rough Set Model: A Hybrid Approach for Classification.-
Ayush To Kidney (Atok) Data Science Model for Diagnosis and to Advice
Through an Expert System.</p><br>
<div><p>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.</p>
<p>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.</p>
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.<br><div><br></div></div>
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.</p>
<p>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.</p>
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.<br><div><br></div></div>
Includes supplementary material: sn.pub/extras
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