Overview
- Introduces informatics methods that will be applied in the future health economy and research
- Includes data analysis and application of imaging data
- Standardization and privacy of personal data are also covered
Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 1005)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
This book is about the transformation of the biomedical information to smart healthcare, the chapters are designed to discuss the health associated factors such as genetics, lifestyle, nutrition and environmental factors. The interactions of these factors and the informatics for the analyses of their effects on health are also covered. The era of aging is approaching and the P4 (predictive, preventive, personalized and participatory) medicine paradigm is becoming practical and reality. According to the Kondratiev's long wave theory, IT (information technology) and health will be the next technological revolution for the new economic cycle. This book is written for biomedical informatics scientists, clinicians, health practitioners and researchers, etc.
Editors and Affiliations
About the editor
Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.
Bibliographic Information
Book Title: Translational Informatics in Smart Healthcare
Editors: Bairong Shen
Series Title: Advances in Experimental Medicine and Biology
DOI: https://doi.org/10.1007/978-981-10-5717-5
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2017
Hardcover ISBN: 978-981-10-5716-8Published: 02 October 2017
Softcover ISBN: 978-981-13-5471-7Published: 12 December 2018
eBook ISBN: 978-981-10-5717-5Published: 15 September 2017
Series ISSN: 0065-2598
Series E-ISSN: 2214-8019
Edition Number: 1
Number of Pages: V, 220
Number of Illustrations: 4 b/w illustrations, 24 illustrations in colour
Topics: Bioinformatics, Molecular Medicine, Computational Biology/Bioinformatics