Computational Intelligence Techniques in Health Care

1. Auflage 2016
ISBN: 978-981-10-0307-3
Verlag: Springer Nature Singapore

Buch, Englisch, 100 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1766 g

Reihe: SpringerBriefs in Forensic and Medical Bioinformatics

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.

Zielgruppe

Research

Autoren/Hrsg.

Lakshmi, P. V.

Satheesh, P.

Zhou, Wengang

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.

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.

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.