Healthcare data analytics

Yang, H.; Kundakcıoğlu, Ömer Erhun; Zeng, D.

dc.contributor.author	Yang, H.
dc.contributor.author	Kundakcıoğlu, Ömer Erhun
dc.contributor.author	Zeng, D.
dc.date.accessioned	2016-06-29T13:04:36Z
dc.date.available	2016-06-29T13:04:36Z
dc.date.issued	2015-11
dc.identifier.issn	1617-9854
dc.identifier.uri	http://hdl.handle.net/10679/4143
dc.identifier.uri	http://link.springer.com/article/10.1007/s10257-015-0297-0
dc.description	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstract	New advances in Information and Communication Technologies (ICT), Operations Research (OR), Artificial Intelligence (AI), and Data Mining (DM) are transforming how healthcare is delivered and managed around the world. Meanwhile, health applications are generating tremendous amounts of data, posing novel technical challenges concerning data processing, knowledge management, analytics, medical decision making, and health policy making, among others.
dc.language.iso	eng	en_US
dc.publisher	Springer International Publishing
dc.relation.ispartof	Information Systems and e-Business Management
dc.rights	restrictedAccess
dc.title	Healthcare data analytics	en_US
dc.type	Article	en_US
dc.peerreviewed	yes
dc.publicationstatus	published	en_US
dc.contributor.department	Özyeğin University
dc.contributor.authorID	(ORCID 0000-0003-3033-0986 & YÖK ID 124068) Kundakcıoğlu, Erhun
dc.contributor.ozuauthor	Kundakcıoğlu, Ömer Erhun
dc.identifier.volume	13
dc.identifier.issue	4
dc.identifier.startpage	595
dc.identifier.endpage	597
dc.identifier.wos	WOS:000366118100001
dc.identifier.doi	10.1007/s10257-015-0297-0
dc.identifier.scopus	SCOPUS:2-s2.0-84949097805
dc.contributor.authorMale	1
dc.relation.publicationcategory	Article - International Refereed Journal - Institutional Academic Staff