Chaitanya Shivade

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Eric Fosler-LussierJohn Makhoul Professor of Computer Science & Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
Albert M. LaiAssociate Professor, Division of General Medical Sciences, Department of Medicine, WashingtonVerified email at wustl.edu
Peter J. Embi, MD, MS, FACP, FACMI,...Chair, DBMI & SVP, Vanderbilt University Medical CenterVerified email at vumc.org
Preethi RaghavanVice President, Fidelity Investments. Research Affiliate, MIT CSAILVerified email at osu.edu
Marie-Catherine de MarneffeFNRS - UCLouvain - The Ohio State UniversityVerified email at ling.ohio-state.edu
Courtney HebertThe Ohio State UniversityVerified email at osumc.edu
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityVerified email at cumc.columbia.edu
Asma Ben AbachaMicrosoftVerified email at microsoft.com
Dina Demner-FushmanNational Library of MedicineVerified email at mail.nih.gov
Rajiv RamnathOhio State UniversityVerified email at osu.edu
Randi ForakerAssociate Professor, Washington University in St. LouisVerified email at wustl.edu
Alexey RomanovMicrosoftVerified email at microsoft.com
Tanveer Syeda-MahmoodIBM Almaden Research CenterVerified email at us.ibm.com
Vinh KhucMachine Learning Engineer, Adobe Inc.Verified email at adobe.com
Joy Tzung-yu WuStanford Nuclear Medicine/Radiology and IBM Research AlmadenVerified email at stanford.edu
Parminder BhatiaScience Leader, AmazonVerified email at amazon.com
Stanley LemeshowProfessor of Biostatistics, Ohio State UniversityVerified email at osu.edu
Marcelo LopeteguiCentro de Informática Biomédica, Facultad de Medicina Clínica Alemana Universidad del DesarrolloVerified email at udd.cl
Curtis P. LanglotzProfessor of Radiology, Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Yuhao ZhangScientist @ Amazon AWS AIVerified email at amazon.com

Chaitanya Shivade

Applied Scientist @ Amazon

Verified email at cse.osu.edu - Homepage

Natural Language Processing Machine Learning Biomedical Informatics


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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	485	2014
Lessons from Natural Language Inference in the Clinical Domain A Romanov, C Shivade Proceedings of EMNLP 2018, 2018	155	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	94	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	90	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	71	2014
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	41	2015
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	33	2021
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	32	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	31	2015
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	23	2019
Neural Inverse Text Normalization M Sunkara, C Shivade, S Bodapati, K Kirchhoff Proceedings of ICASSP, 2021	17	2021
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	16	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	15	2013
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	14	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	14	2019
Corpus-based discovery of semantic intensity scales C Shivade, MC de Marneffe, E Fosler-Lussier, A Lai Proceedings of NAACL-HLT 2015, 2015	14	2015
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	11	2016
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	8	2021
Identification, characterization, and grounding of gradable terms in clinical text C Shivade, MC de Marneffe, E Fosler-Lussier, AM Lai Proceedings of BioNLP at ACL 2016, 17-26, 2016	8	2016
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	7	2020

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