Cloud Based Metalearning System for Predictive Modeling of Biomedical Data
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/859279 |
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| _version_ | 1832550116060299264 |
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| author | Milan Vukićević Sandro Radovanović Miloš Milovanović Miroslav Minović |
| author_facet | Milan Vukićević Sandro Radovanović Miloš Milovanović Miroslav Minović |
| author_sort | Milan Vukićević |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c415f63f1484241a7642cb1090db262 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-0c415f63f1484241a7642cb1090db2622025-02-03T06:07:34ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/859279859279Cloud Based Metalearning System for Predictive Modeling of Biomedical DataMilan Vukićević0Sandro Radovanović1Miloš Milovanović2Miroslav Minović3Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, SerbiaFaculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, SerbiaRapid 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.http://dx.doi.org/10.1155/2014/859279 |
| spellingShingle | Milan Vukićević Sandro Radovanović Miloš Milovanović Miroslav Minović Cloud Based Metalearning System for Predictive Modeling of Biomedical Data The Scientific World Journal |
| title | Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
| title_full | Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
| title_fullStr | Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
| title_full_unstemmed | Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
| title_short | Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
| title_sort | cloud based metalearning system for predictive modeling of biomedical data |
| url | http://dx.doi.org/10.1155/2014/859279 |
| work_keys_str_mv | AT milanvukicevic cloudbasedmetalearningsystemforpredictivemodelingofbiomedicaldata AT sandroradovanovic cloudbasedmetalearningsystemforpredictivemodelingofbiomedicaldata AT milosmilovanovic cloudbasedmetalearningsystemforpredictivemodelingofbiomedicaldata AT miroslavminovic cloudbasedmetalearningsystemforpredictivemodelingofbiomedicaldata |