Publication:
Treatment recommendation system

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dc.citedby1
dc.contributor.authorNguyen P.T.en_US
dc.contributor.authorIlayaraja M.en_US
dc.contributor.authorShankar K.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorMaseleno A.en_US
dc.contributor.authorid57216386109en_US
dc.contributor.authorid55662288300en_US
dc.contributor.authorid56884031900en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid55354910900en_US
dc.date.accessioned2023-05-29T07:24:10Z
dc.date.available2023-05-29T07:24:10Z
dc.date.issued2019
dc.description.abstractIn health care service the treatment recommendation system is plays very important role. In health care services for decision making the Treatment Recommender Systems (TRS) presented as a complementary tools. In current process the Treatment Recommender Systems increase the technology usability and reduce overloading of information. � BEIESP.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.35940/ijeat.F1301.0886S219
dc.identifier.epage994
dc.identifier.issue6 Special Issue 2
dc.identifier.scopus2-s2.0-85073741350
dc.identifier.spage990
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073741350&doi=10.35940%2fijeat.F1301.0886S219&partnerID=40&md5=3936f6b31ff869b369f772dce7cc5e52
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24522
dc.identifier.volume8
dc.publisherBlue Eyes Intelligence Engineering and Sciences Publicationen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Advanced Technology
dc.titleTreatment recommendation systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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