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ORCIDChaitanya P. Shivade
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2020 – today
- 2022
[c21]Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. AMIA 2022- [i9]Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. CoRR abs/2208.07444 (2022) - 2021
- [j5]Karthik Sheshadri
, Chaitanya Shivade, Munindar P. Singh:
Detecting Framing Changes in Topical News. IEEE Trans. Comput. Soc. Syst. 8(3): 780-791 (2021) - [c20]Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, Chaitanya Shivade, Curtis P. Langlotz, Dina Demner-Fushman:
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. BioNLP@NAACL-HLT 2021: 74-85 - [c19]Monica Sunkara, Chaitanya Shivade, Sravan Bodapati, Katrin Kirchhoff:
Neural Inverse Text Normalization. ICASSP 2021: 7573-7577 - [i8]Monica Sunkara, Chaitanya Shivade, Sravan Bodapati, Katrin Kirchhoff:
Neural Inverse Text Normalization. CoRR abs/2102.06380 (2021) - [i7]Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia:
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes. CoRR abs/2104.13498 (2021) - 2020
- [c18]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Towards Visual Dialog for Radiology. BioNLP 2020: 60-69 - [c17]Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. HEALTHINF 2020: 178-186 - [i6]Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. CoRR abs/2009.06082 (2020)
2010 – 2019
- 2019
- [c16]Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi:
Identifying documented medical non-adherence from clinical notes using natural language processing. AMIA 2019 - [c15]Asma Ben Abacha, Chaitanya Shivade, Dina Demner-Fushman:
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering. BioNLP@ACL 2019: 370-379 - [c14]Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade, Alexis Asseman, Ahmet S. Ozcan:
Leveraging Medical Visual Question Answering with Supporting Facts. CLEF (Working Notes) 2019 - [i5]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 2019 - [i4]Oren Melamud, Chaitanya Shivade:
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models. CoRR abs/1905.07002 (2019) - [i3]Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade, Alexis Asseman, Ahmet S. Ozcan:
Leveraging Medical Visual Question Answering with Supporting Facts. CoRR abs/1905.12008 (2019) - 2018
- [c13]Alexey Romanov, Chaitanya Shivade:
Lessons from Natural Language Inference in the Clinical Domain. EMNLP 2018: 1586-1596 - [i2]Alexey Romanov, Chaitanya Shivade:
Lessons from Natural Language Inference in the Clinical Domain. CoRR abs/1808.06752 (2018) - 2017
- [c12]En-Ju D. Lin, Stephen B. Johnson, Chaitanya Shivade, Peter J. Embí, Albert M. Lai:
Understanding the Role of Technology for Screening Participants in Clinical Studies. CRI 2017 - 2016
- [c11]Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan:
Addressing Limited Data for Textual Entailment Across Domains. ACL (1) 2016 - [c10]Chaitanya P. Shivade, Courtney L. Hebert, Kelly Regan, Eric Fosler-Lussier, Albert M. Lai:
Automatic data source identification for clinical trial eligibility criteria resolution. AMIA 2016 - [c9]Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Identification, characterization, and grounding of gradable terms in clinical text. BioNLP@ACL 2016: 17-26 - [c8]Denis R. Griffis, Chaitanya Shivade, Eric Fosler-Lussier, Albert M. Lai:
A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain. CRI 2016 - [i1]Chaitanya P. Shivade, Preethi Raghavan, Siddharth Patwardhan:
Addressing Limited Data for Textual Entailment Across Domains. CoRR abs/1606.02638 (2016) - 2015
- [j4]Chaitanya P. Shivade, Pranav Malewadkar, Eric Fosler-Lussier, Albert M. Lai:
Comparison of UMLS terminologies to identify risk of heart disease using clinical notes. J. Biomed. Informatics 58: S103-S110 (2015) - [j3]Chaitanya P. Shivade, Courtney Hebert, Marcelo A. Lopetegui, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Textual inference for eligibility criteria resolution in clinical trials. J. Biomed. Informatics 58: S211-S218 (2015) - [c7]Tasneem Motiwala, Chaitanya P. Shivade, Satyajeet Raje, Albert M. Lai, Philip R. O. Payne:
RECRUIT: Roadmap to Enhance Clinical trial Recruitment Using Information Technology. AMIA 2015 - [c6]Chaitanya P. Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier, Albert M. Lai:
Corpus-based discovery of semantic intensity scales. HLT-NAACL 2015: 483-493 - 2014
- [j2]Chaitanya P. Shivade, Preethi Raghavan, Eric Fosler-Lussier, Peter J. Embí, Noémie Elhadad, Stephen B. Johnson, Albert M. Lai:
A review of approaches to identifying patient phenotype cohorts using electronic health records. J. Am. Medical Informatics Assoc. 21(2): 221-230 (2014) - [j1]Courtney Hebert, Chaitanya P. Shivade, Randi E. Foraker, Jared Wasserman, Caryn Roth, Hagop S. Mekhjian, Stanley Lemeshow, Peter J. Embí:
Diagnosis-specific readmission risk prediction using electronic health data: a retrospective cohort study. BMC Medical Informatics Decis. Mak. 14: 65 (2014) - [c5]Chaitanya Shivade, James Cormack, David Milward:
Precise Medication Extraction using Agile Text Mining. Louhi@EACL 2014: 75-79 - 2013
- [c4]Caryn Roth, Chaitanya P. Shivade, Randi E. Foraker, Peter J. Embí:
Integrating Population- and Patient-Level Data for Secondary Use of Electronic Health Records to Study Overweight and Obesity. MedInfo 2013: 1100 - [c3]Chaitanya Shivade, James L. Chen:
Classifier-Free, Integrated Genomic Predictions of Prostate Cancer Recurrence. MedInfo 2013: 1177 - 2012
- [c2]Vinh Ngoc Khuc, Chaitanya Shivade, Rajiv Ramnath, Jay Ramanathan:
Towards building large-scale distributed systems for twitter sentiment analysis. SAC 2012: 459-464 - 2011
- [c1]Chaitanya Shivade, Farha Mukri, Rajiv Ramnath, Jay Ramanathan:
Method for continuous generation of Component Business Model heat map using execution data for a complex service enterprise. SOSE 2011: 241-250
Coauthor Index
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