Healthcare data analytics

Title Healthcare data analytics
Author Yang, H., Kundakcıoğlu, Ömer Erhun, Zeng, D.
Publication Date: 2015-11
Publication Place - Springer International Publishing
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1617-9854
Record ID 777185be-fb8a-4803-af73-5cc669eadf87
Library Location Industrial Engineering
Date 2015-11
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text 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.
DOI 10.1007/s10257-015-0297-0
Cilt 13
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Healthcare data analytics

Author Yang, H., Kundakcıoğlu, Ömer Erhun, Zeng, D.
Publication Date 2015-11
Publication Place - Springer International Publishing
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1617-9854
Record ID 777185be-fb8a-4803-af73-5cc669eadf87
Library Location Industrial Engineering
Date 2015-11
Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text 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.
DOI 10.1007/s10257-015-0297-0
Cilt 13
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