Overview
- Highlights recent advances in the area of data science, bioinformatics, and genomics presenting its applications to healthcare
- Addresses the gap between the medication and treatment in the current preventive medicinal and pharmaceutical system
- Presents the automated processes for analyzing data in clinical trial research, specifically for drug development
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Forensic and Medical Bioinformatics (BRIEFSFOMEBI)
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Table of contents (5 chapters)
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Front Matter
Keywords
About this book
This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and manyothers.
Authors and Affiliations
About the authors
Nguyen Thi Dieu Linh, PhD, is Dy. Head of Science and Technology Department, Hanoi University of Industry, Hanoi, Vietnam (HaUI). She has more than 19 years of academic experience in electronics, IoT, smart gardens, and telecommunication. She received her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China, in 2013. She is Chair of the International Conference of Intelligent System and Network. She has edited book titles “Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches” and “Distributed Artificial Intelligence: A Modern Approach” by T&F. She serves as an Editorial Board Member of several journals. She has chaired many technical events in different universities in Viet Nam.
Joan Lu is Professor of Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML technology, object-oriented technologies, agent technology, data management systems, security issues and Internet computing. She has been Invited Speaker for industrial-oriented events and published 5 academic books and more than 160 journal articles. Professor Lu has acted as Founder and Program Chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003–2011). She also serves as Chair of 5 separate international conferences, is Regular Reviewer for several international journals and Committee Member for 16 international conferences. She specializes in XML technology and mobile computing with image retrieval through the latest wireless devices. Professor Lu serves as Member of the British Computer Society (BCS), BCS Examiner of Advanced Database Management Systems and Fellow of the Higher Education Academy (UK). She is Founder and Editor-in-Chief for the International Journal of Information Retrieval Research.Bibliographic Information
Book Title: Data Science and Medical Informatics in Healthcare Technologies
Authors: Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-16-3029-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-16-3031-6Published: 24 July 2021
eBook ISBN: 978-981-16-3029-3Published: 19 June 2021
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VII, 86
Number of Illustrations: 1 b/w illustrations, 13 illustrations in colour
Topics: Computational Intelligence, Health Informatics, Data Structures and Information Theory, Artificial Intelligence, Statistics, general, Big Data