P.V. Lakshmi,
Wengang Zhou,
P Satheesh
Computational Intelligence Techniques in Health Care
Paperback Engels 2016 9789811003073
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9789811003073
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Nature Singapore
Hoofdrubriek:Geneeskunde, Computer en informatica
Lezersrecensies
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Inhoudsopgave
<p>Bioinformatics, genomics and diabetes.-
Coralyne targets proteases involved cancer progression: An InSilico 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 InSilico 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>
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