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A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery

contributor authorReps, Jenna M.
contributor authorGaribaldi, Jonathan M.
contributor authorAickelin, Uwe
contributor authorSoria, Daniele
contributor authorGibson, Jack E.
contributor authorHubbard, Richard B.
date accessioned2020-03-12T18:27:51Z
date available2020-03-12T18:27:51Z
date issued2014
identifier issn2168-2194
identifier other6595576.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/959367?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery
typeJournal Paper
contenttypeMetadata Only
identifier padid7991926
subject keywordsInternet
subject keywordsbiological organs
subject keywordsbiological tissues
subject keywordsdiseases
subject keywordsdrugs
subject keywordshealth care
subject keywordsmedical computing
subject keywordsmedical disorders
subject keywordsciprofloxacin
subject keywordscurrent drug surveillance methods
subject keywordsdepression
subject keywordsdrug selection
subject keywordslevofloxacin
subject keywordsmedical morbidity
subject keywordsmedical mortality
subject keywordsmetric learning
subject keywordsnaproxen
subject keywordsnovel computational metaanalysis framework
subject keywordsnovel semisupervised algorithm
subject keywordspatient medical state
subject keywordspost marketing surveillance
subject keywordsrare prescription side effect discovery
subject keywordsrenal failure
subject keywordsrimonabant
subject keywordssemisupervised clustering
subject keywordsstr
identifier doi10.1109/JBHI.2013.2281505
journal titleBiomedical and Health Informatics, IEEE Journal of
journal volume18
journal issue2
filesize1091888
citations0


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