Ristevski, Blagoj and Stevanovska, Monika and Kostovski, Borche (2017) Hadoop as a Platform for Big Data Analytics in Healthcare and Medicine. In: 7th International Conference on Applied Internet and Information Technologies ICAIIT 2017, Zrenjanin, Serbia.
Full text not available from this repository.Abstract
Big data analytics has the potential to alter the way that life sciences and healthcare and medical organizations use sophisticated technologies to make appropriate decisions. Big data analytics allows companies and organizations to examine and explore large and various data and thus to identify relationships, trends, and patterns to reveal insights, comprehensions and knowledge hidden in the data. In order to discover the knowledge from big data several challenges have to be addressed. As big data analytics becomes more ordinary process in healthcare organizations, concerns regarding patients' privacy, data security, establishing standards and good governance policy should be made. Moreover, improving the big data analytics tools is required to be able to resolve computational complexity issues in a cost-effective manner. In this paper we suggest using of Hadoop as a suitable platform for big data analytics in healthcare and medical organizations.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Mrs Natasha Blazheska-Tabakovska |
| Date Deposited: | 20 Jan 2020 13:07 |
| Last Modified: | 20 Jan 2020 13:07 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/2341 |
Actions (login required)
 |
View Item |