DocumentCode :
116128
Title :
Big data and societal challenges
Author :
Patel, Dinesh
Author_Institution :
Fac. of Bus., London South Bank Univ., London, UK
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
8
Lastpage :
8
Abstract :
Summary form only given. Massive data sets produced by smart cities, science and health systems throw up challenges of storing, analyzing and visualizing data for the purposes of benefitting society. We look at how advances in knowledge representation, brain information processing and knowledge manipulation can enable health professionals to organize, visualize and draw inferences from patient-specific data. Case examples from medical images from MRI and CT scans will be used to illustrate the challenges of detecting small pathological features. The presentation will also focus on data analysis, problem solving, decision making and the need for active engagement of health professionals in the analytical process.
Keywords :
Big Data; data analysis; data visualisation; feature extraction; knowledge representation; medical computing; Big Data; CT scans; MRI; analytical process; brain information processing; data analysis; data storage; data visualization; decision making; health systems; knowledge manipulation; knowledge representation; massive data sets; medical images; patient-specific data; problem solving; science; small pathological feature detection; smart cities; Books; Cognitive informatics; Computational modeling; Conference proceedings; Data visualization; Editorials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921434
Filename :
6921434
Link To Document :
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