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Metaheuristic Algorithms for Healthcare: Open Issues and Challenges.

Authors :
Tsai, Chun-Wei
Chiang, Ming-Chao
Ksentini, Adlen
Chen, Min
Source :
Computers & Electrical Engineering. Jul2016, Vol. 53, p421-434. 14p.
Publication Year :
2016

Abstract

Inspired by the observation that a healthcare system usually involves various intelligent technologies from different disciplines, especially metaheuristics and data mining, this paper provides a brief survey of metaheuristics for healthcare system and a roadmap for researchers working on metaheuristics and healthcare to develop a more efficient and effective healthcare system. This paper begins with a discussion of changes for healthcare, followed by a brief review of the features of “up-to-date technologies for healthcare.”. Then, a learnable big data analytics framework for healthcare system is presented which provides a high performance solution to the forthcoming challenges of big data. Finally, changes, potentials, open issues, and future trends of metaheuristics for healthcare are addressed. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457906
Volume :
53
Database :
Academic Search Index
Journal :
Computers & Electrical Engineering
Publication Type :
Academic Journal
Accession number :
118401996
Full Text :
https://doi.org/10.1016/j.compeleceng.2016.03.005