TY  - BOOK
AU  - Ślęzak,Dominik
AU  - Tan,Ah-Hwee
AU  - Peters,James F.
AU  - Schwabe,Lars
ED  - BIH (Conference)
TI  - Brain informatics and health: International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014, Proceedings 
T2  - Lecture notes in artificial intelligence,
SN  - 9783319098913
AV  - QA76.87 
U1  - 006.3/2 23
PY  - 2014///
CY  - Cham
PB  - Springer
KW  - Neural networks (Computer science)
KW  - Congresses
KW  - Brain
KW  - Physiology
KW  - Computer science
KW  - Human information processing
KW  - Réseaux neuronaux (Informatique)
KW  - Congrès
KW  - Cerveau
KW  - Physiologie
KW  - Informatique
KW  - Traitement de l'information chez l'être humain
KW  - fast
KW  - Congress
KW  - proceedings (reports)
KW  - aat
KW  - Conference papers and proceedings
KW  - lcgft
KW  - Actes de congrès
KW  - rvmgf
N1  - International conference proceedings; Includes author index; 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
N2  - 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
UR  - https://link.springer.com/10.1007/978-3-319-09891-3
ER  -