Cloud Based Metalearning System for Predictive Modeling of Biomedical Data
Апстракт
Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data.
Извор:
Scientific World Journal, 2014Издавач:
- Hindawi Ltd, London
Финансирање / пројекти:
- Интеракција етиопатогенетских механизама пародонтопатије и паериимплантитиса са системским болестима данашњице (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-41008)
- Примена мултимодалне биометрије у менаџменту идентитета (RS-MESTD-Technological Development (TD or TR)-32013)
DOI: 10.1155/2014/859279
ISSN: 1537-744X
PubMed: 24892101
WoS: 000335048400001
Scopus: 2-s2.0-84900023007
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Vukićević, Milan AU - Radovanović, Sandro AU - Milovanović, Miloš AU - Minović, Miroslav PY - 2014 UR - https://rfos.fon.bg.ac.rs/handle/123456789/1262 AB - Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data. PB - Hindawi Ltd, London T2 - Scientific World Journal T1 - Cloud Based Metalearning System for Predictive Modeling of Biomedical Data DO - 10.1155/2014/859279 UR - conv_1635 ER -
@article{ author = "Vukićević, Milan and Radovanović, Sandro and Milovanović, Miloš and Minović, Miroslav", year = "2014", abstract = "Rapid growth and storage of biomedical data enabled many opportunities for predictive modeling and improvement of healthcare processes. On the other side analysis of such large amounts of data is a difficult and computationally intensive task for most existing data mining algorithms. This problem is addressed by proposing a cloud based system that integrates metalearning framework for ranking and selection of best predictive algorithms for data at hand and open source big data technologies for analysis of biomedical data.", publisher = "Hindawi Ltd, London", journal = "Scientific World Journal", title = "Cloud Based Metalearning System for Predictive Modeling of Biomedical Data", doi = "10.1155/2014/859279", url = "conv_1635" }
Vukićević, M., Radovanović, S., Milovanović, M.,& Minović, M.. (2014). Cloud Based Metalearning System for Predictive Modeling of Biomedical Data. in Scientific World Journal Hindawi Ltd, London.. https://doi.org/10.1155/2014/859279 conv_1635
Vukićević M, Radovanović S, Milovanović M, Minović M. Cloud Based Metalearning System for Predictive Modeling of Biomedical Data. in Scientific World Journal. 2014;. doi:10.1155/2014/859279 conv_1635 .
Vukićević, Milan, Radovanović, Sandro, Milovanović, Miloš, Minović, Miroslav, "Cloud Based Metalearning System for Predictive Modeling of Biomedical Data" in Scientific World Journal (2014), https://doi.org/10.1155/2014/859279 ., conv_1635 .