Preethi Raghavan
Preethi Raghavan
Research Staff Member, IBM Research Cambridge MA
Verified email at - Homepage
Cited by
Cited by
A review of approaches to identifying patient phenotype cohorts using electronic health records
C Shivade, P Raghavan, E Fosler-Lussier, PJ Embi, N Elhadad, ...
Journal of the American Medical Informatics Association 21 (2), 221-230, 2014
emrqa: A large corpus for question answering on electronic medical records
A Pampari, P Raghavan, J Liang, J Peng
arXiv preprint arXiv:1809.00732, 2018
How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?
P Raghavan, JL Chen, E Fosler-Lussier, AM Lai
AMIA Summits on Translational Science Proceedings 2014, 218, 2014
Enterprise interaction ontology for change impact analysis of complex systems
A Kumar, P Raghavan, J Ramanathan, R Ramnath
2008 IEEE Asia-Pacific Services Computing Conference, 303-309, 2008
Extracting Problem and Resolution Information from Online Discussion Forums.
P Raghavan, R Catherine, S Ikbal, N Kambhatla, D Majumdar
COMAD, 77, 2010
Cross-narrative temporal ordering of medical events
P Raghavan, E Fosler-Lussier, N Elhadad, AM Lai
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
Temporal classification of medical events
P Raghavan, E Fosler-Lussier, AM Lai
BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language …, 2012
Learning to temporally order medical events in clinical text
P Raghavan, AM Lai, E Fosler-Lussier
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
Exploring semi-supervised coreference resolution of medical concepts using semantic and temporal features
P Raghavan, E Fosler-Lussier, AM Lai
Proceedings of the 2012 Conference of the North American Chapter of the …, 2012
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
E Riloff, D Chiang, J Hockenmaier, J Tsujii
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Inter-annotator reliability of medical events, coreferences and temporal relations in clinical narratives by annotators with varying levels of clinical expertise
P Raghavan, E Fosler-Lussier, AM Lai
AMIA Annual Symposium Proceedings 2012, 1366, 2012
Annotating electronic medical records for question answering
P Raghavan, S Patwardhan, JJ Liang, MV Devarakonda
arXiv preprint arXiv:1805.06816, 2018
Leveraging natural language processing of clinical narratives for phenotype modeling
P Raghavan, AM Lai
Proceedings of the 3rd workshop on Ph. D. students in information and …, 2010
A framework for improving enterprise services by mining customer edge data
P Raghavan, J Ramanathan, R Ramnath, Z Xu
2009 18th IEEE International Workshops on Enabling Technologies …, 2009
Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning
D Mahajan, A Poddar, JJ Liang, YT Lin, JM Prager, P Suryanarayanan, ...
JMIR medical informatics 8 (11), e22508, 2020
Addressing limited data for textual entailment across domains
C Shivade, P Raghavan, S Patwardhan
ACL 2016, 2016
Entity-enriched neural models for clinical question answering
BPS Rawat, WH Weng, SY Min, P Raghavan, P Szolovits
arXiv preprint arXiv:2005.06587, 2020
Identification of Related Electronic Medical Record Documents in a Question and Answer System
MV Devarakonda, JJ Liang, SA Patwardhan, P Raghavan
US Patent App. 15/336,261, 2018
Medical event timeline generation from clinical narratives
P Raghavan
The Ohio State University, 2014
Question Answering on Electronic Medical Records
P Raghavan, S Patwardhan
Proceedings of the 2016 Summit on Clinical Research Informatics, San …, 2016
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