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. LaiProfessor, Division of General Medicine and Geriatrics, 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
Tanveer Syeda-MahmoodIBM Almaden Research CenterVerified email at us.ibm.com
Preethi RaghavanVice President, NLP and Machine learning, Fidelity Investments. Research Affiliate, MIT CSAILVerified email at osu.edu
Marie-Catherine de MarneffeFNRS - UCLouvain - The Ohio State UniversityVerified email at uclouvain.be
Noémie ElhadadAssociate Professor and Chair of Biomedical Informatics, Columbia UniversityVerified email at cumc.columbia.edu
Courtney HebertThe Ohio State UniversityVerified email at osumc.edu
Asma Ben AbachaMicrosoftVerified email at microsoft.com
Dina Demner-FushmanNational Library of MedicineVerified email at mail.nih.gov
Joy Tzung-yu WuStanford Nuclear Medicine/Radiology and IBM Research AlmadenVerified email at stanford.edu
Alexey RomanovMicrosoftVerified email at microsoft.com
Rajiv RamnathOhio State UniversityVerified email at osu.edu
Randi ForakerAssociate Professor, Washington University in St. LouisVerified email at wustl.edu
Parminder BhatiaChief AI Officer, GE HealthcareVerified email at ge.com
Vinh KhucMachine Learning Engineer, Adobe Inc.Verified email at adobe.com
Katrin KirchhoffAmazonVerified email at amazon.com
Stanley LemeshowProfessor of Biostatistics, Ohio State UniversityVerified email at osu.edu
Curtis P. LanglotzProfessor of Radiology, Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Yuhao ZhangScientist/Engineer @ Samaya AIVerified email at samaya.ai

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	580	2014
Lessons from Natural Language Inference in the Clinical Domain A Romanov, C Shivade Proceedings of EMNLP 2018, 2018	265	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	135	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	97	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	79	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	77	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	50	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	46	2016
Neural Inverse Text Normalization M Sunkara, C Shivade, S Bodapati, K Kirchhoff Proceedings of ICASSP, 2021	40	2021
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	40	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	37	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	32	2020
Mednli-a natural language inference dataset for the clinical domain C Shivade Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2019	32	2019
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	28	2020
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	19	2021
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	19	2019
Corpus-based discovery of semantic intensity scales C Shivade, MC de Marneffe, E Fosler-Lussier, A Lai Proceedings of NAACL-HLT 2015, 2015	18	2015
Deduplication of medical concepts from patient information TF Syeda-Mahmood, C Shivade US Patent 11,081,216, 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	17	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 MEDINFO 2013, 1100-1100, 2013	17	2013

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