Editors:
- Presents recent research on information technologies in medicine
- Includes the scientific outcomes of the 7th International Conference Information Technologies in Biomedicine, held Kamien Slaski, Poland, June 17–19, 2019
- Combines modern information technologies and clinical medicine from both theoretical and applied perspectives
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1011)
Conference series link(s): ITIB: International Conference on Information Technologies in Biomedicine
Conference proceedings info: ITIB 2019.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (57 papers)
-
Front Matter
-
Quantitative Data Analysis in Medical Diagnosis
-
Front Matter
-
-
Medical Data Science
-
Front Matter
-
-
Data Mining Tools and Methods in Medical Applications
-
Front Matter
-
About this book
This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections:
Medical Data Science
Quantitative Data Analysis in Medical Diagnosis
Data Mining Tools and Methods in Medical Applications
Image Analysis
Analytics in Action on SAS PlatformBiocybernetics in Physiotherapy
Signal Processing and Analysis
Medical Tools & Interfaces
Biomechanics and Biomaterials.
As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.
Editors and Affiliations
-
Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland
Ewa Pietka, Pawel Badura, Wojciech Wieclawek
-
Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland
Jacek Kawa
Bibliographic Information
Book Title: Information Technology in Biomedicine
Editors: Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-030-23762-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-23761-5Published: 26 June 2019
eBook ISBN: 978-3-030-23762-2Published: 26 June 2019
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XII, 653
Number of Illustrations: 62 b/w illustrations, 202 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Health Informatics, Health Informatics, Artificial Intelligence