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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032768/ https://www.ncbi.nlm.nih.gov/pubmed/24892101 http://dx.doi.org/10.1155/2014/859279 |
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author | Vukićević, Milan Radovanović, Sandro Milovanović, Miloš Minović, Miroslav |
author_facet | Vukićević, Milan Radovanović, Sandro Milovanović, Miloš Minović, Miroslav |
author_sort | Vukićević, Milan |
collection | PubMed |
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 | Online Article Text |
id | pubmed-4032768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40327682014-06-02 Cloud Based Metalearning System for Predictive Modeling of Biomedical Data Vukićević, Milan Radovanović, Sandro Milovanović, Miloš Minović, Miroslav ScientificWorldJournal Research Article 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. Hindawi Publishing Corporation 2014 2014-04-14 /pmc/articles/PMC4032768/ /pubmed/24892101 http://dx.doi.org/10.1155/2014/859279 Text en Copyright © 2014 Milan Vukićević et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vukićević, Milan Radovanović, Sandro Milovanović, Miloš Minović, Miroslav Cloud Based Metalearning System for Predictive Modeling of Biomedical Data |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032768/ https://www.ncbi.nlm.nih.gov/pubmed/24892101 http://dx.doi.org/10.1155/2014/859279 |
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