Go to main content

Computational intelligence techniques in health care [electronic resource] / P.V. Lakshmi, Wengang Zhou, P Satheesh, editors.

Lakshmi, P. V. editor.; Zhou, Wengang, editor.; Satheesh, P. editor.
2016
R859.7.A78
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Computational intelligence techniques in health care [electronic resource] / P.V. Lakshmi, Wengang Zhou, P Satheesh, editors.
ISBN
9789811003080 (electronic book)
9811003084 (electronic book)
9789811003073
DOI
https://doi.org/10.1007/978-981-10-0308-0
Published
Singapore : Springer, 2016.
Language
English
Description
1 online resource (vii, 100 pages) : illustrations.
Item Number
10.1007/978-981-10-0308-0 doi
Call Number
R859.7.A78
Dewey Decimal Classification
610.285/63
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 25, 2016).
Added Author
Lakshmi, P. V. editor.
Zhou, Wengang, editor.
Satheesh, P. editor.
Series
SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics.
Available in Other Form
Print version: 9789811003073
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export