Machine Learning in Medical Applications

Magoulas, G; Prentza, A

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	https://dspace.lib.ntua.gr/xmlui/handle/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