Rave Harpaz

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 5

Top Topics

Empirical Bayes

Healthcare Professionals

Top Venues

J. Biomed. Informatics

J. Am. Medical Informatics Assoc.

Publications

Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson, Rave Harpaz, Steve Bright
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions. PKDD/ECML Workshops (2) (2021)
Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson, Rave Harpaz, Steve Bright
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions. CoRR (2021)
Rave Harpaz, William DuMouchel, Martijn J. Schuemie, Olivier Bodenreider, Carol Friedman, Eric Horvitz, Anna Ripple, Alfred Sorbello, Ryen W. White, Rainer Winnenburg, Nigam H. Shah
Toward multimodal signal detection of adverse drug reactions. J. Biomed. Informatics 76 (2017)
Rave Harpaz, William DuMouchel
Extracting Positive Mentions of Adverse Drug Reactions from Product Labels using a Machine Learning Centric Approach. TAC (2017)
Ryen W. White, Sheng Wang, Apurv Pant, Rave Harpaz, Pushpraj Shukla, Walter Sun, William DuMouchel, Eric Horvitz
Early identification of adverse drug reactions from search log data. J. Biomed. Informatics 59 (2016)
David J. Odgers, Rave Harpaz, Alison Callahan, Gregor Stiglic, Nigam H. Shah
Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance. Pacific Symposium on Biocomputing (2015)
Rainer Winnenburg, Alfred Sorbello, Anna Ripple, Rave Harpaz, Joseph M. Tonning, Ana Szarfman, Henry Francis, Olivier Bodenreider
Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies. J. Biomed. Informatics 57 (2015)
Srinivasan Iyer, Rave Harpaz, Paea LePendu, Anna Bauer-Mehren, Nigam H. Shah
Mining clinical text for signals of adverse drug-drug interactions. J. Am. Medical Informatics Assoc. 21 (2) (2014)
Rave Harpaz, Santiago Vilar, William DuMouchel, Hojjat Salmasian, Krystl Haerian, Nigam H. Shah, Herbert S. Chase, Carol Friedman
Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions. J. Am. Medical Informatics Assoc. 20 (3) (2013)
Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz
Learning Practice-based Evidence from Unstructured Clinical Notes. AMIA (2013)
Rave Harpaz, William DuMouchel, Paea LePendu, Nigam H. Shah
Empirical bayes model to combine signals of adverse drug reactions. KDD (2013)
Natalya Fridman Noy, Paul R. Alexander, Rave Harpaz, Patricia L. Whetzel, Ray W. Fergerson, Mark A. Musen
Getting Lucky in Ontology Search: A Data-Driven Evaluation Framework for Ontology Ranking. ISWC (1) (2013)
Santiago Vilar, Rave Harpaz, Eugenio Uriarte, Lourdes Santana, Raul Rabadan, Carol Friedman
Drug-drug interaction through molecular structure similarity analysis. J. Am. Medical Informatics Assoc. 19 (6) (2012)
Santiago Vilar, Rave Harpaz, Herbert S. Chase, Stefano Costanzi, Raul Rabadan, Carol Friedman
Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis. J. Am. Medical Informatics Assoc. 18 (Supplement) (2011)
Rave Harpaz, Krystl Haerian, Herbert S. Chase, Carol Friedman
Mining electronic health records for adverse drug effects using regression based methods. IHI (2010)
Rave Harpaz, Herbert S. Chase, Carol Friedman
Mining multi-item drug adverse effect associations in spontaneous reporting systems. BMC Bioinform. 11 (S-9) (2010)
Rave Harpaz, Robert M. Haralick
Mining Subspace Correlations. CIDM (2007)
Robert M. Haralick, Rave Harpaz
Linear manifold clustering in high dimensional spaces by stochastic search. Pattern Recognit. 40 (10) (2007)
Rave Harpaz, Robert M. Haralick
Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning. ICPR (2) (2006)
Robert M. Haralick, Rave Harpaz
Linear Manifold Clustering. MLDM (2005)