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Applying Big Data Analytics in Bioinformatics and Medicine

Applying Big Data Analytics in Bioinformatics and Medicine
Author(s)/Editor(s): Miltiadis D. Lytras (Deree - The American College of Greece, Greece)and Paraskevi Papadopoulou (Deree - The American College of Greece, Greece)
Copyright: ©2018
DOI: 10.4018/978-1-5225-2607-0
ISBN13: 9781522526070
ISBN10: 1522526072
EISBN13: 9781522526087


View Applying Big Data Analytics in Bioinformatics and Medicine on the publisher's website for pricing and purchasing information.


Many aspects of modern life have become personalized, yet healthcare practices have been lagging behind in this trend. It is now becoming more common to use big data analysis to improve current healthcare and medicinal systems, and offer better health services to all citizens.

Applying Big Data Analytics in Bioinformatics and Medicine is a comprehensive reference source that overviews the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Featuring coverage on relevant topics that include smart data, proteomics, medical data storage, and drug design, this publication is an ideal resource for medical professionals, healthcare practitioners, academicians, and researchers interested in the latest trends and techniques in personalized medicine.

Author's/Editor's Biography

Miltiadis Lytras (Ed.)
Miltiadis D. Lytras is Associate Professor at Deree- ACG with a research focus on semantic web, knowledge management and e-learning, with more than 100 publications. He has co-edited more than 45 special issues in International Journals (IEEE Transaction on Knowledge and Data Engineering, IEEE Internet Computing, IEEE Transactions on Education, Computers in Human Behaviour, Interactive Learning Environments, Journal of Knowledge Management, Journal of Computer Assisted Learning) and has authored/(co-)edited 42 books (e.g. Open Source for Knowledge and Learning Management, Ubiquitous and Pervasive Knowledge Management, Intelligent Learning Infrastructures for Knowledge Intensive Organizations, Semantic Web Based Information Systems, China Information Technology Handbook, Real World Applications of Semantic Web and Ontologies, Web 2.0: The Business Model, etc.). He (has) serves(ed) as the (Co) Editor in Chief of 8 international journals (e.g. International Journal on Semantic Web and Information Systems, International Journal of Knowledge Society Research, International Journal of Knowledge and Learning, International Journal of Technology Enhanced Learning).

Paraskevi Papadopoulou (Ed.)
Paraskevi Papadopoulou is Professor of Biology at Deree-The American College of Greece. She holds Biology degrees from the University of California, Los Angeles and from the University of Athens and a PhD in Biophysics and Cell Biology from the University of Athens. Her research interests are focused in the fields of Structural Biology/Molecular Biophysics and Computational Biology/Bioinformatics, on structural and self-assembly studies of fibrous proteins, which form extracellular, proteinaceous structures of physiological importance like lepidopteran, dipteran and fish chorions. Model structures of chorion proteins and their interactions have been proposed. Her current engagement includes the development of genetic testing protocols for genetic diseases such as Tuberous Sclerosis and of Neurofibromatosis type 1. She is also interested in Higher Education research and innovative ways of teaching. In addition to teaching biology and environmental studies courses she has served as Head of the department of Science, Technology and Mathematics at Deree-ACG for 6 years.


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