Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/4097
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dc.contributor.authorSladojević, Srđanen
dc.contributor.authorSladojevic M.en
dc.contributor.authorPavlović, Katicaen
dc.contributor.authorCemerlic-Adjic N.en
dc.contributor.authorĆulibrk, Dubravkoen
dc.date.accessioned2019-09-23T10:32:00Z-
dc.date.available2019-09-23T10:32:00Z-
dc.date.issued2013-01-01en
dc.identifier.isbn9781461484950en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/4097-
dc.relation.ispartofHandbook of Medical and Healthcare Technologiesen
dc.titlePredicting the outcome of antihypertensive therapy using knowledge miningen
dc.typeBook Chapteren
dc.identifier.doi10.1007/978-1-4614-8495-0_9en
dc.identifier.scopus2-s2.0-85028285703en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85028285703en
dc.relation.lastpage244en
dc.relation.firstpage223en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za industrijsko inženjerstvo i menadžment-
crisitem.author.deptFakultet tehničkih nauka, Departman za industrijsko inženjerstvo i menadžment-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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