Machine Learning in Medical Applications

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dc.contributor.author Magoulas, G en
dc.contributor.author Prentza, A en
dc.date.accessioned 2014-03-01T02:49:04Z
dc.date.available 2014-03-01T02:49:04Z
dc.date.issued 2001 en
dc.identifier.uri http://hdl.handle.net/123456789/34279
dc.relation.uri http://www.dcs.bbk.ac.uk/~gmagoulas/ACAI99_workshop.pdf en
dc.relation.uri http://www.springerlink.com/content/6ep081h9m9gf5kg7 en
dc.relation.uri http://www.springerlink.com/index/6ep081h9m9gf5kg7.pdf en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/conf/ac/ml2001.html#MagoulasP01 en
dc.relation.uri http://link.springer.de/link/service/series/0558/bibs/2049/20490300.htm en
dc.subject Data Analysis en
dc.subject Data Interpretation en
dc.subject Disease Progression en
dc.subject Intensive Care Unit en
dc.subject Machine Learning en
dc.subject Medical Application en
dc.subject Medical Care en
dc.subject Outcomes Research en
dc.subject Applied Research en
dc.subject Problem Solving en
dc.title Machine Learning in Medical Applications en
heal.type conferenceItem en
heal.publicationDate 2001 en
heal.abstract Abstract: Research in Machine Learning methods to-date remains centered on technological issues and is mostlyapplication driven. This letter summarizes successful applications of machine learning methods that werepresented at the Workshop on Machine Learning in Medical Applications. The goals of the workshopwere to foster fundamental and applied research in the application of machine learning methods tomedical problem solving and to medical en
heal.journalName Advanced Courses en

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