Dmitriy Dligach

92 papers B 3Misc 15Journal 42Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Explainable multimodal deep learning models for variable-length sequences in critically ill patients. J. Biomed. Informatics Jennifer Martin, Majid Afshar, Askar Safipour Afshar, John R. Caskey, Dmitriy Dligach, Yanjun Gao, Jifan Gao, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek
2025	—	`conf`	A Performance-Based Voting Framework for Assertion Detection in Clinical Notes. MedInfo Behnaz Eslami, Dmitriy Dligach, Benjamin Strickland, Nazanin Azarvash, M. Samie Tootooni
2025	J	`jnl`	Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning. CoRR Saksham Khatwani, He Cheng, Majid Afshar, Dmitriy Dligach, Yanjun Gao
2025	J	`jnl`	Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs. CoRR Skatje Myers, Dmitriy Dligach, Timothy A. Miller, Samantha Barr, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Majid Afshar
2025	J	`jnl`	Evaluating clinical AI summaries with large language models as judges. npj Digit. Medicine Emma Croxford, Yanjun Gao, Elliot First, Nicholas Pellegrino, Miranda Schnier, John R. Caskey, Madeline Oguss, Graham Wills, Guanhua Chen, Dmitriy Dligach, Matthew M. Churpek, Anoop M. Mayampurath, Frank J. Liao, Cherodeep Goswami, Karen K. Wong, Brian W. Patterson, Majid Afshar
2025	J	`jnl`	Explaining alerts from a pediatric risk prediction model using clinical text. J. Am. Medical Informatics Assoc. Samuel Nycklemoe, Sriharsha Devarapu, Yanjun Gao, Kyle A. Carey, Nicholas Kuehnel, Neil Munjal, Priti Jani, Matthew M. Churpek, Dmitriy Dligach, Majid Afshar, Anoop M. Mayampurath
2025	J	`jnl`	LCD benchmark: long clinical document benchmark on mortality prediction for language models. J. Am. Medical Informatics Assoc. Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
2025	J	`jnl`	Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. J. Am. Medical Informatics Assoc. Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2025	J	`jnl`	Toward digital twins in the intensive care unit: a medication management case study. J. Am. Medical Informatics Assoc. Behnaz Eslami, Majid Afshar, Samie Tootooni, Timothy A. Miller, Matthew M. Churpek, Yanjun Gao, Dmitriy Dligach
2024	J	`jnl`	Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy Miller, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman
2024	J	`jnl`	Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar
2024	J	`jnl`	Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	The use of large language models to enhance cancer clinical trial educational materials. CoRR Mingye Gao, Aman Varshney, Shan Chen, Vikram Goddla, Jack Gallifant, Patrick Doyle, Claire Novack, Maeve Dillon-Martin, Teresia Perkins, Xinrong Correia, Erik P. Duhaime, Howard Isenstein, Elad Sharon, Lisa Soleymani Lehmann, David E. Kozono, Brian Anthony, Dmitriy Dligach, Danielle S. Bitterman
2024	—	`conf`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2024	J	`jnl`	When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2023	—	`conf`	End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL Timothy Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova
2023	—	`conf`	Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy A. Miller
2023	J	`jnl`	Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	—	`conf`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	J	`jnl`	Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach
2023	—	`conf`	Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. BioNLP@ACL Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar
2023	J	`jnl`	Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2023	J	`jnl`	Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar
2022	J	`jnl`	A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar
2022	Misc	`conf`	Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach
2022	B	`conf`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar
2022	J	`jnl`	Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2022	B	`conf`	Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar
2021	J	`jnl`	A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar
2021	Misc	`conf`	A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	J	`jnl`	Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. J. Am. Medical Informatics Assoc. Hale M. Thompson, Brihat Sharma, Sameer Bhalla, Randy Boley, Connor McCluskey, Dmitriy Dligach, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar
2021	J	`jnl`	Classifying Long Clinical Documents with Pre-trained Transformers. CoRR Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach
2021	—	`conf`	EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. BioNLP@NAACL-HLT Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
2021	J	`jnl`	Pre-training phenotyping classifiers. J. Biomed. Informatics Dmitriy Dligach, Majid Afshar, Timothy Miller
2021	Misc	`conf`	The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar
2020	—	`conf`	A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. BioNLP Chen Lin, Timothy Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova
2020	—	`conf`	Defining and Learning Refined Temporal Relations in the Clinical Narrative. LOUHI@EMNLP Kristin Wright-Bettner, Chen Lin, Timothy Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova
2020	J	`jnl`	Does BERT need domain adaptation for clinical negation detection? J. Am. Medical Informatics Assoc. Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller
2020	Misc	`conf`	Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach
2020	Misc	`conf`	Learning Patient Representations from Electronic Health Records across Diverse Data Types. AMIA Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam
2020	J	`jnl`	Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce, Majid Afshar
2019	J	`jnl`	Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. J. Am. Medical Informatics Assoc. Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price
2019	Misc	`conf`	Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce
2019	J	`jnl`	Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. J. Am. Medical Informatics Assoc. Majid Afshar, Andrew Phillips, Niranjan S. Karnik, Jeanne Mueller, Daniel To, Richard Gonzalez, Ron Price, Richard S. Cooper, Cara Joyce, Dmitriy Dligach
2019	J	`jnl`	Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. J. Am. Medical Informatics Assoc. Dmitriy Dligach, Majid Afshar, Timothy Miller
2019	Misc	`conf`	Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. AMIA Dmitriy Dligach, Majid Afshar, Timothy A. Miller
2019	—	`conf`	Two-stage Federated Phenotyping and Patient Representation Learning. BioNLP@ACL Dianbo Liu, Dmitriy Dligach, Timothy Miller
2019	J	`jnl`	Two-stage Federated Phenotyping and Patient Representation Learning. CoRR Dianbo Liu, Dmitriy Dligach, Timothy Miller
2019	Misc	`conf`	Untapped Potential of Clinical Text for Opioid Surveillance. AMIA Amy L. Olex, Tamás Gál, Majid Afshar, Dmitriy Dligach, Niranjan S. Karnik, Travis Oakes, Brihat Sharma, Meng Xie, Bridget T. McInnes, Julian Solway, Abel N. Kho, William Cramer, F. G. Moeller
2018	Misc	`conf`	A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach
2018	—	`conf`	Learning Patient Representations from Text. *SEM@NAACL-HLT Dmitriy Dligach, Timothy Miller
2018	J	`jnl`	Learning Patient Representations from Text. CoRR Dmitriy Dligach, Timothy Miller
2018	—	`conf`	Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. Louhi@EMNLP Chen Lin, Timothy Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, Guergana Savova
2017	—	`conf`	Neural Temporal Relation Extraction. EACL (2) Dmitriy Dligach, Timothy Miller, Chen Lin, Steven Bethard, Guergana Savova
2017	B	`conf`	Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova
2017	—	`conf`	Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
2017	J	`jnl`	Towards generalizable entity-centric clinical coreference resolution. J. Biomed. Informatics Timothy Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova
2016	Misc	`conf`	Feature Portability in Cross-domain Clinical Coreference. AMIA Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova
2016	—	`conf`	Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP@ACL Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova
2016	J	`jnl`	Multilayered temporal modeling for the clinical domain. J. Am. Medical Informatics Assoc. Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, Guergana K. Savova
2016	—	`conf`	Unsupervised Document Classification with Informed Topic Models. BioNLP@ACL Timothy Miller, Dmitriy Dligach, Guergana Savova
2015	J	`jnl`	Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record. J. Am. Medical Informatics Assoc. Chen Lin, Elizabeth W. Karlson, Dmitriy Dligach, Monica P. Ramirez, Timothy A. Miller, Huan Mo, Natalie S. Braggs, Andrew Cagan, Vivian S. Gainer, Joshua C. Denny, Guergana K. Savova
2015	—	`conf`	Extracting Time Expressions from Clinical Text. BioNLP@IJCNLP Timothy Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova
2015	Misc	`conf`	Robust Sentence Segmentation for Clinical Text. AMIA Timothy A. Miller, Sean Finan, Dmitriy Dligach, Guergana Savova
2015	Misc	`conf`	Semi-supervised Learning for Phenotyping Tasks. AMIA Dmitriy Dligach, Timothy A. Miller, Guergana Savova
2014	—	`conf`	Descending-Path Convolution Kernel for Syntactic Structures. ACL (2) Chen Lin, Timothy Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova
2014	J	`jnl`	Discovering body site and severity modifiers in clinical texts. J. Am. Medical Informatics Assoc. Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy Miller, Guergana K. Savova
2013	J	`jnl`	A common type system for clinical natural language processing. J. Biomed. Semant. Stephen T. Wu, Vinod Kaggal, Dmitriy Dligach, James J. Masanz, Pei J. Chen, Lee Becker, Wendy Webber Chapman, Guergana K. Savova, Hongfang Liu, Christopher G. Chute
2013	—	`conf`	Active Learning for Phenotyping Tasks. RANLP (Medicine and Biology) Dmitriy Dligach, Timothy Miller, Guergana Savova
2013	Misc	`conf`	Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records. AMIA Chen Lin, Elizabeth W. Karlson, Helena Canhão, Timothy A. Miller, Dmitriy Dligach, Pei J. Chen, Raúl N. Pérez, Yuanyuan Shen, Michael E. Weinblatt, Nancy A. Shadick, Robert M. Plenge, Guergana Savova
2013	Misc	`conf`	Discovering Body Site and Severity Modifiers in Clinical Texts. AMIA Dmitriy Dligach, Timothy A. Miller, Guergana Savova
2013	—	`conf`	Discovering Temporal Narrative Containers in Clinical Text. BioNLP@ACL Timothy Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova
2013	Misc	`conf`	Discovering Time Expressions in Clinical Text. AMIA Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova
2013	J	`jnl`	Towards comprehensive syntactic and semantic annotations of the clinical narrative. J. Am. Medical Informatics Assoc. Daniel Albright, Arrick Lanfranchi, Anwen Fredriksen, William F. Styler IV, Colin Warner, Jena D. Hwang, Jinho D. Choi, Dmitriy Dligach, Rodney D. Nielsen, James H. Martin, Wayne H. Ward, Martha Palmer, Guergana K. Savova
2012	—	`conf`	Active Learning for Coreference Resolution. BioNLP@HLT-NAACL Timothy A. Miller, Dmitriy Dligach, Guergana Savova
2011	—	`conf`	Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling. ACL (2) Dmitriy Dligach, Martha Palmer
2011	—	`conf`	Reducing the Need for Double Annotation. Linguistic Annotation Workshop Dmitriy Dligach, Martha Palmer
2011	—	`conf`	VerbNet Class Assignment as a WSD Task. IWCS Susan Windisch Brown, Dmitriy Dligach, Martha Palmer
2010	—	`conf`	SemEval-2010 Task 14: Word Sense Induction &Disambiguation. SemEval@ACL Suresh Manandhar, Ioannis P. Klapaftis, Dmitriy Dligach, Sameer Pradhan
2010	—	`conf`	To Annotate More Accurately or to Annotate More. Linguistic Annotation Workshop Dmitriy Dligach, Rodney D. Nielsen, Martha Palmer
2009	—	`conf`	Using Language Modeling to Select Useful Annotation Data. HLT-NAACL (Student Research Workshop and Doctoral Consortium) Dmitriy Dligach, Martha Palmer
2008	—	`conf`	Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge. ICSC Dmitriy Dligach, Martha Palmer
2008	J	`jnl`	Improving Word Sense Disambiguation with Automatically Retrieved Semantic Knowledge. Int. J. Semantic Comput. Dmitriy Dligach, Martha Palmer
2008	—	`conf`	Novel Semantic Features for Verb Sense Disambiguation. ACL (2) Dmitriy Dligach, Martha Palmer
2007	—	`conf`	Criteria for the Manual Grouping of Verb Senses. LAW@ACL Cecily Jill Duffield, Jena D. Hwang, Susan Windisch Brown, Dmitriy Dligach, Sarah Vieweg, Jenny Davis, Martha Palmer
2007	—	`conf`	SemEval-2007 Task-17: English Lexical Sample, SRL and All Words. SemEval@ACL Sameer Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer
2007	—	`conf`	Towards Large-scale High-Performance English Verb Sense Disambiguation by Using Linguistically Motivated Features. ICSC Jinying Chen, Dmitriy Dligach, Martha Palmer