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Dmitriy Dligach
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2020 – today
- 2024
- [j18]Jifan Gao, Guanhua Chen, Ann P. O'Rourke, John R. Caskey, Kyle A. Carey, Madeline Oguss, Anne Stey, Dmitriy Dligach, Timothy A. Miller
, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. J. Am. Medical Informatics Assoc. 31(6): 1291-1302 (2024) - [c49]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP (Findings) 2024: 5414-5428 - [i14]Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman:
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. CoRR abs/2403.19511 (2024) - [i13]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy Miller, Danielle S. Bitterman, Matthew M. Churpek, Majid Afshar:
When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? CoRR abs/2408.11854 (2024) - [i12]Skatje Myers, Timothy A. Miller, Yanjun Gao, Matthew M. Churpek, Anoop M. Mayampurath, Dmitriy Dligach, Majid Afshar:
Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies. CoRR abs/2409.15163 (2024) - 2023
- [j17]Yanjun Gao
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023) - [j16]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023) - [c48]Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL 2023: 78-85 - [c47]Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - [c46]Timothy A. Miller, Steven Bethard
End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL 2023: 313-319 - [c45]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Majid Afshar:
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 2023: 461-467 - [i11]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task. CoRR abs/2303.08038 (2023) - [i10]Brihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR abs/2306.04551 (2023) - [i9]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar:
Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. CoRR abs/2306.05270 (2023) - [i8]Yanjun Gao, Ruizhe Li
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR abs/2308.14321 (2023) - 2022
- [j15]Yanjun Gao
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29(10): 1797-1806 (2022) - [c44]Anoop M. Mayampurath, Kyle A. Carey, Priti Jani, Majid Afshar, Matthew M. Churpek, Dmitriy Dligach:
Explaining Alerts from a Pediatric Deterioration Prediction Model Using Clinical Text. AMIA 2022 - [c43]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. COLING 2022: 2979-2991 - [c42]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar:
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. LREC 2022: 5484-5493 - [i7]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar:
Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. CoRR abs/2204.03035 (2022) - [i6]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. CoRR abs/2208.08408 (2022) - [i5]Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. CoRR abs/2209.14901 (2022) - 2021
- [j14]Hale M. Thompson
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. 28(11): 2393-2403 (2021) - [j13]Dmitriy Dligach
Pre-training phenotyping classifiers. J. Biomed. Informatics 113: 103626 (2021) - [c41]Brihat Sharma, Dmitriy Dligach, Hale Thomson, Matthew M. Churpek, Niranjan S. Karnik, Majid Afshar:
A multi-label classifier to screen different types of substance misuse in hospitalized patients. AMIA 2021 - [c40]Daniel To, Cara Joyce, Sujay Kulshrestha, Brihat Sharma, Dmitriy Dligach, Matthew M. Churpek, Majid Afshar:
The Addition of United States Census-Tract Data Does Not Improve the Prediction of Substance Misuse. AMIA 2021 - [c39]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. BioNLP@NAACL-HLT 2021: 191-201 - [i4]Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach:
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR abs/2105.06752 (2021) - [i3]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy A. Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing. CoRR abs/2112.05780 (2021) - 2020
- [j12]Chen Lin, Steven Bethard
Does BERT need domain adaptation for clinical negation detection? J. Am. Medical Informatics Assoc. 27(4): 584-591 (2020) - [j11]Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. BMC Medical Informatics Decis. Mak. 20(1): 79 (2020) - [c38]Kristin Wright-Bettner, Chen Lin, Timothy A. Miller, Steven Bethard
Defining and Learning Refined Temporal Relations in the Clinical Narrative. LOUHI@EMNLP 2020: 104-114 - [c37]Timothy A. Miller, Dmitriy Dligach, Fei Wang, Yuqi Si, Funda Meric-Bernstam:
Learning Patient Representations from Electronic Health Records across Diverse Data Types. AMIA 2020 - [c36]Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach:
Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA 2020 - [c35]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Farig Sadeque, Steven Bethard, Guergana Savova:
A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. BioNLP 2020: 70-75
2010 – 2019
- 2019
- [j10]Majid Afshar, Andrew Phillips, Niranjan S. Karnik
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. 26(3): 254-261 (2019) - [j9]Dmitriy Dligach, Majid Afshar
Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. J. Am. Medical Informatics Assoc. 26(11): 1272-1278 (2019) - [j8]Majid Afshar
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. 26(11): 1364-1369 (2019) - [c34]Dmitriy Dligach, Majid Afshar, Timothy A. Miller:
Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. AMIA 2019 - [c33]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:
Untapped Potential of Clinical Text for Opioid Surveillance. AMIA 2019 - [c32]Brihat Sharma, Majid Afshar, Dmitriy Dligach, Robert Kanie, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce:
Identification of Latent Subtypes of Patients with Opioid Misuse. AMIA 2019 - [c31]Dianbo Liu, Dmitriy Dligach, Timothy A. Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. BioNLP@ACL 2019: 283-291 - [i2]Dianbo Liu, Dmitriy Dligach, Timothy A. Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. CoRR abs/1908.05596 (2019) - 2018
- [c30]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Hadi Amiri, Steven Bethard, Guergana Savova:
Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. Louhi@EMNLP 2018: 165-176 - [c29]Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Ron Price, Susan J. Zelisko, Dmitriy Dligach:
A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA 2018 - [c28]Dmitriy Dligach, Timothy A. Miller:
Learning Patient Representations from Text. *SEM@NAACL-HLT 2018: 119-123 - [i1]Dmitriy Dligach, Timothy A. Miller:
Learning Patient Representations from Text. CoRR abs/1805.02096 (2018) - 2017
- [j7]Timothy A. Miller
Towards generalizable entity-centric clinical coreference resolution. J. Biomed. Informatics 69: 251-258 (2017) - [c27]Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017: 198-202 - [c26]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP 2017: 322-327 - [c25]Dmitriy Dligach, Timothy A. Miller, Chen Lin, Steven Bethard, Guergana Savova:
Neural Temporal Relation Extraction. EACL (2) 2017: 746-751 - 2016
- [j6]Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard
Multilayered temporal modeling for the clinical domain. J. Am. Medical Informatics Assoc. 23(2): 387-395 (2016) - [c24]Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova:
Feature Portability in Cross-domain Clinical Coreference. AMIA 2016 - [c23]Timothy A. Miller, Dmitriy Dligach, Guergana Savova:
Unsupervised Document Classification with Informed Topic Models. BioNLP@ACL 2016: 83-91 - [c22]Chen Lin, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP@ACL 2016: 108-113 - 2015
- [j5]Chen Lin, Elizabeth W. Karlson, Dmitriy Dligach, Monica P. Ramirez, Timothy A. Miller, Huan Mo
Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record. J. Am. Medical Informatics Assoc. 22(e1): e151-e161 (2015) - [c21]Dmitriy Dligach, Timothy A. Miller, Guergana Savova:
Semi-supervised Learning for Phenotyping Tasks. AMIA 2015 - [c20]Timothy A. Miller, Sean Finan, Dmitriy Dligach, Guergana Savova:
Robust Sentence Segmentation for Clinical Text. AMIA 2015 - [c19]Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova:
Extracting Time Expressions from Clinical Text. BioNLP@IJCNLP 2015: 81-91 - 2014
- [j4]Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy A. Miller, Guergana K. Savova:
Discovering body site and severity modifiers in clinical texts. J. Am. Medical Informatics Assoc. 21(3): 448-454 (2014) - [c18]Chen Lin, Timothy A. Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova:
Descending-Path Convolution Kernel for Syntactic Structures. ACL (2) 2014: 81-86 - 2013
- [j3]Stephen T. Wu, Vinod Kaggal, Dmitriy Dligach, James J. Masanz
A common type system for clinical natural language processing. J. Biomed. Semant. 4: 1 (2013) - [j2]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
Towards comprehensive syntactic and semantic annotations of the clinical narrative. J. Am. Medical Informatics Assoc. 20(5): 922-930 (2013) - [c17]Dmitriy Dligach, Timothy A. Miller, Guergana Savova:
Discovering Body Site and Severity Modifiers in Clinical Texts. AMIA 2013 - [c16]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:
Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records. AMIA 2013 - [c15]Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova:
Discovering Time Expressions in Clinical Text. AMIA 2013 - [c14]Timothy A. Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova:
Discovering Temporal Narrative Containers in Clinical Text. BioNLP@ACL 2013: 18-26 - [c13]Dmitriy Dligach, Timothy A. Miller, Guergana Savova:
Active Learning for Phenotyping Tasks. RANLP (Medicine and Biology) 2013: 1-8 - 2012
- [c12]Timothy A. Miller, Dmitriy Dligach, Guergana Savova:
Active Learning for Coreference Resolution. BioNLP@HLT-NAACL 2012: 73-81 - 2011
- [c11]Dmitriy Dligach, Martha Palmer:
Good Seed Makes a Good Crop: Accelerating Active Learning Using Language Modeling. ACL (2) 2011: 6-10 - [c10]Dmitriy Dligach, Martha Palmer:
Reducing the Need for Double Annotation. Linguistic Annotation Workshop 2011: 65-73 - [c9]Susan Windisch Brown, Dmitriy Dligach, Martha Palmer:
VerbNet Class Assignment as a WSD Task. IWCS 2011 - 2010
- [c8]Dmitriy Dligach, Rodney D. Nielsen, Martha Palmer:
To Annotate More Accurately or to Annotate More. Linguistic Annotation Workshop 2010: 64-72 - [c7]Suresh Manandhar, Ioannis P. Klapaftis, Dmitriy Dligach, Sameer Pradhan:
SemEval-2010 Task 14: Word Sense Induction &Disambiguation. SemEval@ACL 2010: 63-68
2000 – 2009
- 2009
- [c6]Dmitriy Dligach, Martha Palmer:
Using Language Modeling to Select Useful Annotation Data. HLT-NAACL (Student Research Workshop and Doctoral Consortium) 2009: 25-30 - 2008
- [j1]Dmitriy Dligach, Martha Palmer
Improving Word Sense Disambiguation with Automatically Retrieved Semantic Knowledge. Int. J. Semantic Comput. 2(3): 365-380 (2008) - [c5]Dmitriy Dligach, Martha Palmer:
Novel Semantic Features for Verb Sense Disambiguation. ACL (2) 2008: 29-32 - [c4]Dmitriy Dligach, Martha Palmer
Improving Verb Sense Disambiguation with Automatically Retrieved Semantic Knowledge. ICSC 2008: 182-189 - 2007
- [c3]Cecily Jill Duffield, Jena D. Hwang, Susan Windisch Brown, Dmitriy Dligach, Sarah Vieweg, Jenny Davis, Martha Palmer:
Criteria for the Manual Grouping of Verb Senses. LAW@ACL 2007: 49-52 - [c2]Jinying Chen, Dmitriy Dligach, Martha Palmer
Towards Large-scale High-Performance English Verb Sense Disambiguation by Using Linguistically Motivated Features. ICSC 2007: 378-388 - [c1]Sameer Pradhan, Edward Loper, Dmitriy Dligach, Martha Palmer:
SemEval-2007 Task-17: English Lexical Sample, SRL and All Words. SemEval@ACL 2007: 87-92
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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