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Rave Harpaz

Showing results (1-10 of 21) with videos related to

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BMC Bioinformatics|November 4, 2010
Mining multi-item drug adverse effect associations in spontaneous reporting systemsRave Harpaz, Herbert S Chase, Carol Friedman
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 25, 2011
Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting SystemRave Harpaz, Krystl Haerian, Herbert S Chase, et al.
Plos One|August 23, 2012
Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitisSantiago Vilar, Rave Harpaz, Lourdes Santana, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processingYing Li, Hojjat Salmasian, Rave Harpaz, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citationsWei Wang, Krystl Haerian, Hojjat Salmasian, et al.
Journal of the American Medical Informatics Association : JAMIA|June 1, 2012
Drug-drug interaction through molecular structure similarity analysisSantiago Vilar, Rave Harpaz, Eugenio Uriarte, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Analyzing search behavior of healthcare professionals for drug safety surveillanceDavid J Odgers, Rave Harpaz, Alison Callahan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|December 5, 2013
Learning signals of adverse drug-drug interactions from the unstructured text of electronic health recordsSrinivasan V Iyer, Paea Lependu, Rave Harpaz, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|December 5, 2013
Learning signals of adverse drug-drug interactions from the unstructured text of electronic health recordsSrinivasan V Iyer, Paea Lependu, Rave Harpaz, et al.
Journal of the American Medical Informatics Association : JAMIA|September 28, 2011
Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysisSantiago Vilar, Rave Harpaz, Herbert S Chase, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
BMC Bioinformatics|November 4, 2010
Mining multi-item drug adverse effect associations in spontaneous reporting systemsRave Harpaz, Herbert S Chase, Carol Friedman
AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 25, 2011
Statistical Mining of Potential Drug Interaction Adverse Effects in FDA's Spontaneous Reporting SystemRave Harpaz, Krystl Haerian, Herbert S Chase, et al.
Plos One|August 23, 2012
Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitisSantiago Vilar, Rave Harpaz, Lourdes Santana, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processingYing Li, Hojjat Salmasian, Rave Harpaz, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|December 24, 2011
A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citationsWei Wang, Krystl Haerian, Hojjat Salmasian, et al.
Journal of the American Medical Informatics Association : JAMIA|June 1, 2012
Drug-drug interaction through molecular structure similarity analysisSantiago Vilar, Rave Harpaz, Eugenio Uriarte, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|January 17, 2015
Analyzing search behavior of healthcare professionals for drug safety surveillanceDavid J Odgers, Rave Harpaz, Alison Callahan, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|December 5, 2013
Learning signals of adverse drug-drug interactions from the unstructured text of electronic health recordsSrinivasan V Iyer, Paea Lependu, Rave Harpaz, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|December 5, 2013
Learning signals of adverse drug-drug interactions from the unstructured text of electronic health recordsSrinivasan V Iyer, Paea Lependu, Rave Harpaz, et al.
Journal of the American Medical Informatics Association : JAMIA|September 28, 2011
Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysisSantiago Vilar, Rave Harpaz, Herbert S Chase, et al.
Pageof 3