Soft Computing and Medical Bioinformatics

• Main Authors: Muppalaneni, Naresh Babu (Author, http://id.loc.gov/vocabulary/relators/aut), Ma, Maode (http://id.loc.gov/vocabulary/relators/aut), Gurumoorthy, Sasikumar (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Forensic and Medical Bioinformatics,
• Subjects: Computational intelligence.; Health informatics.; Bioinformatics.; Biomedical engineering.; Computational Intelligence.; Health Informatics.; Computational Biology/Bioinformatics.; Biomedical Engineering and Bioengineering.

This book highlights the applications of soft computing techniques in medical bioinformatics. It reflects the state-of-the-art research in soft computing and bioinformatics, including theory, algorithms, numerical simulations, and error and uncertainty analysis. It also deals with novel applications...

Table of Contents:

• Cognitive State Classifiers For Identifying Brain Activities
• Classification of Abnormal Blood Vessels in Diabetic Retinopathy using Neural Network
• Design and Implementation of Intelligent System to Detect Malicious Facebook posts using Support Vector Machine (SVM)
• A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms and K-Means into Teaching-Learning-Based Optimization
• A Novel Level Based Dna Security Algorithm Using DNA Codons
• Construction of Breast Cancer Based Protein Protein Interaction Network Using Multiple Sources of Datasets
• Hybridizing spectral clustering with shadow clustering.