( en | de | ru )

 

Disambiguation of "Harpaz, Rave"

Author of the publication

copydeleteadd this publication to your clipboard
Mining electronic health records for adverse drug effects using regression based methods.

, , , and . IHI, page 100-107. ACM, (2010)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ortwin Rave

Wolfgang Rave

Ortwin Rave

Irene Rave

Hermann Rave

 

Other publications of authors with the same name

Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies., , , , , , , and . J. Biomed. Informatics, (2015)Extracting Positive Mentions of Adverse Drug Reactions from Product Labels using a Machine Learning Centric Approach., and . TAC, NIST, (2017)Learning Practice-based Evidence from Unstructured Clinical Notes., , , , , , and . AMIA, AMIA, (2013)Empirical bayes model to combine signals of adverse drug reactions., , , and . KDD, page 1339-1347. ACM, (2013)Linear Manifold Clustering., and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 132-141. Springer, (2005)Mining Subspace Correlations., and . CIDM, page 335-342. IEEE, (2007)Analyzing Search Behavior of Healthcare Professionals for Drug Safety Surveillance., , , , and . Pacific Symposium on Biocomputing, page 306-317. (2015)Getting Lucky in Ontology Search: A Data-Driven Evaluation Framework for Ontology Ranking., , , , , and . ISWC (1), volume 8218 of Lecture Notes in Computer Science, page 444-459. Springer, (2013)Mining electronic health records for adverse drug effects using regression based methods., , , and . IHI, page 100-107. ACM, (2010)Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions., , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 490-505. Springer, (2021)