Computational Intelligence Techniques in Health Care by P.V. LakshmiComputational Intelligence Techniques in Health Care by P.V. Lakshmi

Computational Intelligence Techniques in Health Care

byP.V. LakshmiEditorWengang Zhou, P Satheesh

Paperback | April 27, 2016

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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.
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 ...
Title:Computational Intelligence Techniques in Health CareFormat:PaperbackDimensions:100 pages, 23.5 × 15.5 × 0.02 inPublished:April 27, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811003076

ISBN - 13:9789811003073

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Table of Contents

Bioinformatics, genomics and diabetes.- Coralyne targets proteases involved cancer progression: AnInSilicostudy.- 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.