Preethi Raghavan
Preethi Raghavan
Vice President, NLP and Machine learning, Fidelity Investments. Research Affiliate, MIT CSAIL
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Zitiert von
Zitiert von
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
Self-training of question answering system using question profiles
MV Devarakonda, SA Patwardhan, P Raghavan
US Patent 10,699,215, 2020
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
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
emrkbqa: A clinical knowledge-base question answering dataset
P Raghavan, JJ Liang, D Mahajan, R Chandra, P Szolovits
Association for Computational Linguistics, 2021
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
Extracting Problem and Resolution Information from Online Discussion Forums.
P Raghavan, R Catherine, S Ikbal, N Kambhatla, D Majumdar
COMAD, 77, 2010
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
Entity-enriched neural models for clinical question answering
BPS Rawat, WH Weng, SY Min, P Raghavan, P Szolovits
arXiv preprint arXiv:2005.06587, 2020
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
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
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
Learning to ask like a physician
E Lehman, V Lialin, KY Legaspi, AJR Sy, PTS Pile, NRI Alberto, ...
arXiv preprint arXiv:2206.02696, 2022
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
Clinical research informatics: recent advances and future directions
M Dugas
Yearbook of Medical Informatics 24 (01), 174-177, 2015
Jetsons at the finnlp-2023: Using synthetic data and transfer learning for multilingual esg issue classification
P Glenn, A Gon, N Kohli, S Zha, PP Dakle, P Raghavan
Proceedings of the Fifth Workshop on Financial Technology and Natural …, 2023
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