title: Cloud based metalearning system for predictive modeling of biomedical data.
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.
authors.affiliation: Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia.
authors.forename: Milan
authors.initials: M
authors.lastname: Vukićević
authors.affiliation: Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia.
authors.forename: Sandro
authors.identifier: 0000-0002-9975-8844
authors.initials: S
authors.lastname: Radovanović
authors.affiliation: Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia.
authors.forename: Miloš
authors.identifier: 0000-0002-2713-5832
authors.initials: M
authors.lastname: Milovanović
authors.affiliation: Faculty of Organizational Sciences, University of Belgrade, Jove Ilića 154, 11000 Belgrade, Serbia.
authors.forename: Miroslav
authors.identifier: 0000-0002-4270-7595
authors.initials: M
authors.lastname: Minović
mesh_terms: D003695:Delivery of Health Care / Q000458:organization & administration*; D016247:Information Storage and Retrieval; D007858:Learning; D008962:Models, Theoretical