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Pharmacology / Patient safety / Medical terms / Medicinal chemistry / Pharmacy / Medical error / Collaborative filtering / Medical prescription / Pharmaceutical drug / Medicine / Health / Pharmaceutical sciences


A Comparison of Collaborative Filtering Methods for Medication Reconciliation Huanian Zheng, Rema Padman, Daniel B. Neill The H. John Heinz III College, Carnegie Mellon University, Pittsburgh, PA, 15213, USA adverse outc
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Document Date: 2010-04-04 19:52:12


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File Size: 157,30 KB

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City

Washington DC / /

Company

Millennium Pharmacy Systems / National Academies Press / /

Country

United States / /

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Facility

John Heinz III College / Carnegie Mellon University / The Heinz College / /

IndustryTerm

healthcare data / collaborative filtering algorithms / easy and effective multi-stage solution / cGraph algorithm / online pharmacy / online retailers / information technology / Web Conference / prior information collaborative filtering recommendation algorithms / generic chemical name / predictive algorithms / learning algorithms / /

MedicalCondition

allergies / 2007a. particular diseases / /

MedicalTreatment

medication errors / /

Organization

Heinz College / Center for Disease Control / Carnegie Mellon University / Pittsburgh / /

Person

Daniel B. Neill / Int / Formulation / /

Position

prescribing physician / Model / physician / General / /

Product

Naglie G. Medication / Abstract Medication / /

ProgrammingLanguage

DC / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

Machine Learning / /

Region

Eastern United States / /

Technology

corresponding algorithm / information technology / collaborative filtering algorithms / Data Mining / Introduction algorithms / Machine Learning / prior information collaborative filtering recommendation algorithms / cGraph algorithm / /

SocialTag