Chaitanya Shivade
Chaitanya Shivade
Applied Scientist @ Amazon
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
Lessons from Natural Language Inference in the Clinical Domain
A Romanov, C Shivade
Proceedings of EMNLP 2018, 2018
Overview of the MEDIQA 2019 shared task on textual inference, question entailment and question answering
AB Abacha, C Shivade, D Demner-Fushman
Proceedings of the 18th BioNLP Workshop and Shared Task, 370-379, 2019
Towards building large-scale distributed systems for twitter sentiment analysis
VN Khuc, C Shivade, R Ramnath, J Ramanathan
Proceedings of the 27th Annual ACM Symposium on Applied Computing, 459-464, 2012
Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study
C Hebert, C Shivade, R Foraker, J Wasserman, C Roth, H Mekhjian, ...
BMC Medical Informatics and Decision Making 14 (1), 65, 2014
Overview of the MEDIQA 2021 shared task on summarization in the medical domain
AB Abacha, Y M’rabet, Y Zhang, C Shivade, C Langlotz, ...
Proceedings of the 20th Workshop on Biomedical Language Processing, 74-85, 2021
Textual inference for eligibility criteria resolution in clinical trials
C Shivade, C Hebert, M Lopetegui, MC de Marneffe, E Fosler-Lussier, ...
Journal of Biomedical Informatics, 2015
A quantitative and qualitative evaluation of sentence boundary detection for the clinical domain
D Griffis, C Shivade, E Fosler-Lussier, AM Lai
Proceedings of the AMIA Summits on Translational Science 2016, 88, 2016
Comparison of UMLS terminologies to identify risk of heart disease using clinical notes
C Shivade, P Malewadkar, E Fosler-Lussier, AM Lai
Journal of Biomedical Informatics 58, S103-S110, 2015
Neural Inverse Text Normalization
M Sunkara, C Shivade, S Bodapati, K Kirchhoff
Proceedings of ICASSP, 2021
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models
O Melamud, C Shivade
Proceedings of the ClinicalNLP workshop at NAACL-HLT 2019, 2019
Mednli-a natural language inference dataset for the clinical domain
C Shivade
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2019
Towards Visual Dialog for Radiology
O Kovaleva, C Shivade, S Kashyap, K Kanjaria, J Wu, D Ballah, A Coy, ...
Proceedings of BioNLP at ACL, 60-69, 2020
Determining appropriate medical image processing pipeline based on machine learning
A Katouzian, A Pillai, C Shivade, M Bendersky, A Jadhav, V Mukherjee, ...
US Patent 10,740,866, 2020
Leveraging medical visual question answering with supporting facts
T Kornuta, D Rajan, C Shivade, A Asseman, AS Ozcan
Proceedings of ImageCLEF 2019 VQA-Med, 2019
Extending NegEx with kernel methods for negation detection in clinical text
C Shivade, MC de Marneffe, E Fosler-Lussier, AM Lai
Proceedings of the ExProM workshop at NAACL-HLT 2015, 41-46, 2015
Towards clinical encounter summarization: Learning to compose discharge summaries from prior notes
HC Shing, C Shivade, N Pourdamghani, F Nan, P Resnik, D Oard, ...
arXiv preprint arXiv:2104.13498, 2021
Corpus-based discovery of semantic intensity scales
C Shivade, MC de Marneffe, E Fosler-Lussier, A Lai
Proceedings of NAACL-HLT 2015, 2015
Integrating population-and patient-level data for secondary use of electronic health records to study overweight and obesity.
C Roth, CP Shivade, RE Foraker, PJ Embi
Studies in health technology and informatics 192, 1100-1100, 2013
Automatic data source identification for clinical trial eligibility criteria resolution
C Shivade, C Hebert, K Regan, E Fosler-Lussier, AM Lai
Proceedings of AMIA Annual Symposium 2016, 1149, 2016
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