Information Technology in Biomedicine (Paperback, 1st ed. 2019)

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 Platform Biocybernetics 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Intelligent Systems and Computing, 1011
Release date:	June 2019
First published:	2019
Editors:	Ewa Pietka • Pawel Badura • Jacek Kawa • Wojciech Wieclawek
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	653
Edition:	1st ed. 2019
ISBN-13:	978-3-03-023761-5
Categories:	Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Medicine > General issues > Medical equipment & techniques > General Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-023761-3
Barcode:	9783030237615

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