Rave Harpaz

According to our database, Rave Harpaz authored at least 19 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions.

Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson, Rave Harpaz, Steve Bright

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2017

Toward multimodal signal detection of adverse drug reactions.

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

J. Biomed. Informatics, 2017

Extracting Positive Mentions of Adverse Drug Reactions from Product Labels using a Machine Learning Centric Approach.

Rave Harpaz, William DuMouchel

Proceedings of the 2017 Text Analysis Conference, 2017

2016

Early identification of adverse drug reactions from search log data.

Ryen W. White, Sheng Wang, Apurv Pant, Rave Harpaz, Pushpraj Shukla, Walter Sun, William DuMouchel, Eric Horvitz

J. Biomed. Informatics, 2016

2015

Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies.

Rainer Winnenburg, Alfred Sorbello, Anna Ripple, Rave Harpaz, Joseph M. Tonning, Ana Szarfman, Henry Francis, Olivier Bodenreider

J. Biomed. Informatics, 2015

Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance.

David J. Odgers, Rave Harpaz, Alison Callahan, Gregor Stiglic, Nigam H. Shah

Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014

Mining clinical text for signals of adverse drug-drug interactions.

Srinivasan V Iyer, Rave Harpaz, Paea LePendu, Anna Bauer-Mehren, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2014

2013

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.

Rave Harpaz, Santiago Vilar, William DuMouchel, Hojjat Salmasian, Krystl Haerian, Nigam H. Shah, Herbert S. Chase, Carol Friedman

J. Am. Medical Informatics Assoc., 2013

Getting Lucky in Ontology Search: A Data-Driven Evaluation Framework for Ontology Ranking.

Natalya Fridman Noy, Paul R. Alexander, Rave Harpaz, Patricia L. Whetzel, Ray W. Fergerson, Mark A. Musen

Proceedings of the Semantic Web - ISWC 2013, 2013

Empirical bayes model to combine signals of adverse drug reactions.

Rave Harpaz, William DuMouchel, Paea LePendu, Nigam H. Shah

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Learning Practice-based Evidence from Unstructured Clinical Notes.

Nigam Shah, Paea LePendu, Anna Bauer-Mehren, Srinivasan V Iyer, Kenneth Jung, Tyler Cole, Rave Harpaz

Proceedings of the AMIA 2013, 2013

2012

Drug-drug interaction through molecular structure similarity analysis.

Santiago Vilar, Rave Harpaz, Eugenio Uriarte, Lourdes Santana, Raul Rabadan, Carol Friedman

J. Am. Medical Informatics Assoc., 2012

2011

Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis.

Santiago Vilar, Rave Harpaz, Herbert S. Chase, Stefano Costanzi, Raul Rabadan, Carol Friedman

J. Am. Medical Informatics Assoc., 2011

2010

Mining multi-item drug adverse effect associations in spontaneous reporting systems.

Rave Harpaz, Herbert S. Chase, Carol Friedman

BMC Bioinform., 2010

Mining electronic health records for adverse drug effects using regression based methods.

Rave Harpaz, Krystl Haerian, Herbert S. Chase, Carol Friedman

Proceedings of the ACM International Health Informatics Symposium, 2010

2007

Linear manifold clustering in high dimensional spaces by stochastic search.

Robert M. Haralick, Rave Harpaz

Pattern Recognit., 2007

Mining Subspace Correlations.

Rave Harpaz, Robert M. Haralick

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Exploiting the Geometry of Gene Expression Patterns for Unsupervised Learning.

Rave Harpaz, Robert M. Haralick

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Linear Manifold Clustering.

Robert M. Haralick, Rave Harpaz

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005