Detecting adverse drug events through data mining.
| Published in: | American Journal of Health-System Pharmacy Vol. 67; no. 4; pp. 317 - 321 |
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| Main Authors: | , |
| Format: | algorithm research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
2/15/2010
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105120311&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105120311 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10792082 1X3 jtl: American Journal of Health-System Pharmacy issn: 10792082 maglogo: N pubinfo: dt: 2/15/2010 vid: 67 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 105120311 2010556042 10.2146/ajhp090115 NLM20133538 105120311 ppf: 317 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Detecting adverse drug events through data mining. aug: au: Glasgow JM Kaboli PJ affil: Graduate Research Assistant and Student, Department of Internal Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City. sug: subj: Adverse Drug Event Classification Adverse Drug Event Evaluation Data Mining Academic Medical Centers Data Analysis Software Human Iowa Medication Errors Pilot Studies Record Review Methods Secondary Analysis pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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