Big data handling mechanisms in the healthcare applications: A comprehensive and systematic literature review

[Display omitted] •Preparing an overview of existing difficulties in healthcare and big data.•Providing an overview of existing techniques about healthcare big data.•Exploring future challenges for healthcare, and the role that big data can play.•Outlining key areas where future research can improve...

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Bibliographic Details
Published in:Journal of biomedical informatics 2018-06, Vol.82, p.47-62
Main Authors: Pashazadeh, Asma, Navimipour, Nima Jafari
Format: Article
Language:English
Subjects:
Agent
Big Data
Cloud
Cloud Computing
Computer Graphics
Data Mining - methods
Decision Making
Delivery of Health Care
Genomics
Healthcare
Heuristic
Humans
Internet
Machine Learning
Medical Informatics - methods
Medical Informatics - trends
Neural Networks (Computer)
Support Vector Machine
Systematic literature review
User-Computer Interface
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Summary:[Display omitted] •Preparing an overview of existing difficulties in healthcare and big data.•Providing an overview of existing techniques about healthcare big data.•Exploring future challenges for healthcare, and the role that big data can play.•Outlining key areas where future research can improve the use of big data techniques in health care. Healthcare provides many services such as diagnosing, treatment, prevention of diseases, illnesses, injuries, and other physical and mental disorders. Large-scale distributed data processing applications in healthcare as a basic concept operates on large amounts of data. Therefore, big data application functions are the main part of healthcare operations, but there was not any comprehensive and systematic survey about studying and evaluating the important techniques in this field. Therefore, this paper aims at providing the comprehensive, detailed, and systematic study of the state-of-the-art mechanisms in the big data related to healthcare applications in five categories, including machine learning, cloud-based, heuristic-based, agent-based, and hybrid mechanisms. Also, this paper displayed a systematic literature review (SLR) of the big data applications in the healthcare literature up to the end of 2016. Initially, 205 papers were identified, but a paper selection process reduced the number of papers to 29 important studies.
ISSN:1532-0464
1532-0480
DOI:10.1016/j.jbi.2018.03.014