Data mining techniques for stroke: a systematic review
by Arpana Singh; Baijnath Roy
World Review of Entrepreneurship, Management and Sustainable Development (WREMSD), Vol. 14, No. 6, 2018

Abstract: The objective of this study was to conduct a systematic review of applications of data mining techniques in the field of stroke research. We searched the MEDLINE database through PubMed and PubMed Central. We initially identified 28 articles (17 from PubMed and 11 from PubMed Central) by the search, and selected 13 articles representing various data mining methods used for stroke research. Our main interest was to identify research goals, stroke types, datasets, and data mining methods, data mining software and outcomes. The applications of data mining techniques in the selected articles were useful for extracting valuable knowledge and generating new hypothesis for further research work, prediction of stroke's risk factor and improving healthcare for stroke patients. The results could be used for scientific research and real-life practice to improve the quality of healthcare stroke patients. Data mining has played an important role in stroke research. Data mining would be a valuable asset for stroke researchers because it can unearth hidden knowledge from a huge amount of stroke-related data. We believe that data mining can significantly help stroke research and ultimately improve the quality of healthcare for stroke patients.

Online publication date: Tue, 29-Jan-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the World Review of Entrepreneurship, Management and Sustainable Development (WREMSD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com