Brain Informatics and Health
International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings
Published on 4. August 2014
Book
Paperback/Softback
XVIII, 597 pages
978-3-319-09890-6 (ISBN)
Description
This book constitutes the proceedings of the International Conference on Brain Informatics and Health, BIH 2014, held in Warsaw, Poland, in August 2014, as part of 2014 Web Intelligence Congress, WIC 2014. The 29 full papers presented together with 23 special session papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on brain understanding; cognitive modelling; brain data analytics; health data analytics; brain informatics and data management; semantic aspects of biomedical analytics; healthcare technologies and systems; analysis of complex medical data; understanding of information processing in brain; neuroimaging data processing strategies; advanced methods of interactive data mining for personalized medicine.
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
230 s/w Abbildungen
XVIII, 597 p. 230 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 33 mm
Weight
920 gr
ISBN-13
978-3-319-09890-6 (9783319098906)
DOI
10.1007/978-3-319-09891-3
Schweitzer Classification
Other editions
Additional editions
Dominik Slezak | Ah-Hwee Tan | James F. Peters
Brain Informatics and Health
International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings
E-Book
07/2014
Springer
€53.49
Available for download
Content
Brain understanding.- Cognitive modelling.- Brain data analytics.- Health data analytics.- Brain informatics and data management.- Semantic aspects of biomedical analytics.- healthcare technologies and systems.- Analysis of complex medical data.- Understanding of information processing in brain.- Neuroimaging data processing strategies.- Advanced methods of interactive data mining for personalized medicine.