Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting

University of Helsinki, NYKYKIELET 2010-2017Ehrentraut, C.Ekholm, M.Tanushi, H.Tiedemann, J.Dalianis, H.2017-03-272017-03-272016-08-04Ehrentraut , C , Ekholm , M , Tanushi , H , Tiedemann , J & Dalianis , H 2016 , ' Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting ' Health informatics journal. , pp. 1-19 . DOI: 10.1177/1460458216656471PURE: 72569778PURE UUID: d4a623ab-0c1e-47fe-944b-12ee470d5260Bibtex: urn:e766ead50e2f456d6df1cc4b6d9a1098Scopus: 85041631179http://hdl.handle.net/10138/17857019eng6121 Languages113 Computer and information sciences3141 Health care scienceDetecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boostingArticlehttps://doi.org/10.1177/1460458216656471