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ORCIDTimothy A. Miller
Timothy Miller 0002 – Tim Miller 0002
Person information
- affiliation: Harvard Medical School, Department of Pediatrics, Boston, MA, USA
- affiliation: Boston Children's Hospital, Computational Health Informatics Program, Boston, MA, USA
- affiliation (PhD 2010): University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
Other persons with the same name
- Timothy Miller — disambiguation page
- Tim Miller 0001
![[0000-0003-4908-6063]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4908-6063")
(aka: Timothy Miller 0001) — University of Queensland, School of Electrical Engineering and Computer Science, Brisbane, Australia (and 2 more) - Timothy Miller 0003 (aka: Tim Miller 0003, Timothy L. Miller) — NASA, Marshall Space Flight Center, Huntsville, AL, USA (and 1 more)
- Timothy S. Miller (aka: Timothy Miller 0004, Tim Miller 0004) — Brown University, Computer Science Department, Providence, RI, USA
- Tim Miller — disambiguation page
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Journal Articles
- 2025
[j27]Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
LCD benchmark: long clinical document benchmark on mortality prediction for language models. J. Am. Medical Informatics Assoc. 32(2): 285-295 (2025)- [j26]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. J. Am. Medical Informatics Assoc. 32(2): 357-364 (2025) - 2024
- [j25]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:
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) - [j24]Andrew J. McMurry, Daniel Gottlieb, Timothy A. Miller, James R. Jones, Ashish Atreja, Jennifer Crago, Pankaja M. Desai, Brian E. Dixon, Matthew Garber, Vladimir Ignatov, Lyndsey A Kirchner, Philip R. O. Payne, Anil J. Saldanha, Prabhu R. V. Shankar, Yauheni Solad, Elizabeth Sprouse, Michael Terry, Adam B. Wilcox, Kenneth D. Mandl:
Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. J. Am. Medical Informatics Assoc. 31(8): 1638-1647 (2024) - 2023
- [j23]Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez:
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023) - [j22]Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller:
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31(1): 89-97 (2023) - [j21]Yanjun Gao, Dmitriy Dligach, Timothy Miller, John R. Caskey, Brihat Sharma, Matthew M. Churpek, Majid Afshar:
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. J. Biomed. Informatics 138: 104286 (2023) - [j20]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [j19]Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Özlem Uzuner, Majid Afshar:
Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. J. Biomed. Informatics 142: 104346 (2023) - 2022
- [j18]Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Delphine S. Tuot, Danielle S. Bitterman, Timothy A. Miller:
Classifying unstructured electronic consult messages to understand primary care physician specialty information needs. J. Am. Medical Informatics Assoc. 29(9): 1607-1617 (2022) - [j17]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Özlem Uzuner, Matthew M. Churpek, Majid Afshar:
A scoping review of publicly available language tasks in clinical natural language processing. J. Am. Medical Informatics Assoc. 29(10): 1797-1806 (2022) - [j16]Dongfang Xu, Timothy Miller:
A simple neural vector space model for medical concept normalization using concept embeddings. J. Biomed. Informatics 130: 104080 (2022) - [j15]Dianbo Liu, Kathe P. Fox, Griffin M. Weber, Tim Miller:
Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence. J. Biomed. Informatics 134: 104151 (2022) - 2021
- [j14]Lifeng Jin, Lane Schwartz, Finale Doshi-Velez, Timothy Miller, William Schuler:
Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition. Comput. Linguistics 47(1): 181-216 (2021) - [j13]Dmitriy Dligach, Majid Afshar, Timothy Miller:
Pre-training phenotyping classifiers. J. Biomed. Informatics 113: 103626 (2021) - [j12]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. J. Biomed. Informatics 115: 103671 (2021) - 2020
- [j11]Chen Lin, Steven Bethard, Dmitriy Dligach, Farig Sadeque, Guergana Savova, Timothy A. Miller:
Does BERT need domain adaptation for clinical negation detection? J. Am. Medical Informatics Assoc. 27(4): 584-591 (2020) - 2019
- [j10]Dmitriy Dligach, Majid Afshar, Timothy Miller:
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) - [j9]Natalia Viani, Timothy A. Miller, Carlo Napolitano, Silvia G. Priori, Guergana K. Savova, Riccardo Bellazzi, Lucia Sacchi:
Supervised methods to extract clinical events from cardiology reports in Italian. J. Biomed. Informatics 95 (2019) - 2018
- [j8]Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz:
Unsupervised Grammar Induction with Depth-bounded PCFG. Trans. Assoc. Comput. Linguistics 6: 211-224 (2018) - 2017
- [j7]Timothy Miller, Dmitriy Dligach, Steven Bethard, Chen Lin, Guergana Savova:
Towards generalizable entity-centric clinical coreference resolution. J. Biomed. Informatics 69: 251-258 (2017) - 2016
- [j6]Chen Lin, Dmitriy Dligach, Timothy A. Miller, Steven Bethard, Guergana K. Savova:
Multilayered temporal modeling for the clinical domain. J. Am. Medical Informatics Assoc. 23(2): 387-395 (2016) - 2015
- [j5]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:
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) - 2014
- [j4]Dmitriy Dligach, Steven Bethard, Lee Becker, Timothy Miller, Guergana K. Savova:
Discovering body site and severity modifiers in clinical texts. J. Am. Medical Informatics Assoc. 21(3): 448-454 (2014) - [j3]William F. Styler IV, Steven Bethard, Sean Finan, Martha Palmer, Sameer Pradhan, Piet C. de Groen, Bradley James Erickson, Timothy Miller, Chen Lin, Guergana K. Savova, James Pustejovsky:
Temporal Annotation in the Clinical Domain. Trans. Assoc. Comput. Linguistics 2: 143-154 (2014) - 2012
- [j2]Jiaping Zheng, Wendy Webber Chapman, Timothy A. Miller, Chen Lin, Rebecca S. Crowley, Guergana K. Savova:
A system for coreference resolution for the clinical narrative. J. Am. Medical Informatics Assoc. 19(4): 660-667 (2012) - 2010
- [j1]William Schuler, Samir AbdelRahman, Tim Miller, Lane Schwartz:
Broad-Coverage Parsing Using Human-Like Memory Constraints. Comput. Linguistics 36(1): 1-30 (2010)
Conference and Workshop Papers
- 2025
- [c63]Pietro Belligoli, Danielle S. Bitterman, Timothy A. Miller:
Do They Really Know? Evaluating Large Language Models' Ability to Reference and Cite Oncology Guidelines. AIME (2) 2025: 30-34 - 2024
- [c62]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 - 2023
- [c61]Lijing Wang, Yingya Li, Timothy Miller, Steven Bethard, Guergana Savova:
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. ACL (1) 2023: 15746-15761 - [c60]Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. ClinicalNLP@ACL 2023: 78-85 - [c59]Weipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy A. Miller:
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. ClinicalNLP@ACL 2023: 125-130 - [c58]Timothy Miller, Steven Bethard, Dmitriy Dligach, Guergana Savova:
End-to-end clinical temporal information extraction with multi-head attention. BioNLP@ACL 2023: 313-319 - [c57]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 - 2022
- [c56]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 - [c55]Yanjun Gao, Dmitriy Dligach, Timothy 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 - 2021
- [c54]Timothy A. Miller, Bin Mao, Dan Gottlieb, Kenneth D. Mandl:
The SMART Cumulus Text-to-FHIR NLP Pipeline. AMIA 2021 - [c53]Chen Lin, Timothy 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 - [c52]Egoitz Laparra, Xin Su, Yiyun Zhao, Özlem Uzuner, Timothy A. Miller, Steven Bethard:
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. SemEval@ACL/IJCNLP 2021: 348-356 - 2020
- [c51]Xiyu Ding, Mei-Hua Hall, Timothy A. Miller:
Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries. ClinicalNLP@EMNLP 2020: 35-40 - [c50]Danielle S. Bitterman, Timothy Miller, David Harris, Chen Lin, Sean Finan, Jeremy L. Warner, Raymond H. Mak, Guergana Savova:
Extracting Relations between Radiotherapy Treatment Details. ClinicalNLP@EMNLP 2020: 194-200 - [c49]Kristin Wright-Bettner, Chen Lin, Timothy Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova:
Defining and Learning Refined Temporal Relations in the Clinical Narrative. LOUHI@EMNLP 2020: 104-114 - [c48]Xiyu Ding, Michael L. Barnett, Ateev Mehrotra, Timothy A. Miller:
Understanding eConsult Triage Behavior with Natural Language Processing. AMIA 2020 - [c47]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 - [c46]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy A. Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. AMIA 2020 - [c45]Xin Su, Timothy A. Miller, Majid Afshar, Dmitriy Dligach:
Learning Hierarchical Transformer-based Representations of Clinical Notes. AMIA 2020 - [c44]Chen Lin, Timothy 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 - 2019
- [c43]Lifeng Jin, Finale Doshi-Velez, Timothy Miller, Lane Schwartz, William Schuler:
Unsupervised Learning of PCFGs with Normalizing Flow. ACL (1) 2019: 2442-2452 - [c42]Kristin Wright-Bettner, Martha Palmer, Guergana Savova, Piet C. de Groen, Timothy Miller:
Cross-document coreference: An approach to capturing coreference without context. LOUHI@EMNLP 2019: 1-10 - [c41]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 - [c40]Dianbo Liu, Dmitriy Dligach, Timothy Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. BioNLP@ACL 2019: 283-291 - [c39]Timothy Miller:
Simplified Neural Unsupervised Domain Adaptation. NAACL-HLT (1) 2019: 414-419 - 2018
- [c38]Chen Lin, Timothy 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 - [c37]Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. EMNLP 2018: 2721-2731 - [c36]Hadi Amiri, Timothy Miller, Guergana Savova:
Spotting Spurious Data with Neural Networks. NAACL-HLT 2018: 2006-2016 - [c35]Dmitriy Dligach, Timothy Miller:
Learning Patient Representations from Text. *SEM@NAACL-HLT 2018: 119-123 - 2017
- [c34]Natalia Viani, Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Carlo Napolitano, Silvia G. Priori, Riccardo Bellazzi, Lucia Sacchi, Guergana K. Savova:
Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. AIME 2017: 198-202 - [c33]Guergana Savova, Eugene Tseytlin, Sean Finan, Melissa Castine, Timothy A. Miller, Olga Medvedeva, David Harris, Harry Hochheiser, Chen Lin, Girish Chavan, Rebecca Jacobson:
DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. AMIA 2017 - [c32]Timothy A. Miller, Steven Bethard, Hadi Amiri, Guergana Savova:
Unsupervised Domain Adaptation for Clinical Negation Detection. BioNLP 2017: 165-170 - [c31]Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. BioNLP 2017: 322-327 - [c30]Dmitriy Dligach, Timothy Miller, Chen Lin, Steven Bethard, Guergana Savova:
Neural Temporal Relation Extraction. EACL (2) 2017: 746-751 - [c29]Hadi Amiri, Timothy Miller, Guergana Savova:
Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. EMNLP 2017: 2401-2410 - 2016
- [c28]Timothy A. Miller, Dmitriy Dligach, Chen Lin, Steven Bethard, Guergana Savova:
Feature Portability in Cross-domain Clinical Coreference. AMIA 2016 - [c27]Timothy Miller, Dmitriy Dligach, Guergana Savova:
Unsupervised Document Classification with Informed Topic Models. BioNLP@ACL 2016: 83-91 - [c26]Chen Lin, Timothy Miller, Dmitriy Dligach, Steven Bethard, Guergana Savova:
Improving Temporal Relation Extraction with Training Instance Augmentation. BioNLP@ACL 2016: 108-113 - [c25]Cory Shain, William Bryce, Lifeng Jin, Victoria Krakovna, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz:
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input. COLING 2016: 964-975 - 2015
- [c24]Dmitriy Dligach, Timothy A. Miller, Guergana Savova:
Semi-supervised Learning for Phenotyping Tasks. AMIA 2015 - [c23]Timothy A. Miller, Sean Finan, Dmitriy Dligach, Guergana Savova:
Robust Sentence Segmentation for Clinical Text. AMIA 2015 - [c22]Timothy Miller, Steven Bethard, Dmitriy Dligach, Chen Lin, Guergana Savova:
Extracting Time Expressions from Clinical Text. BioNLP@IJCNLP 2015: 81-91 - 2014
- [c21]Chen Lin, Timothy Miller, Alvin Kho, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Guergana Savova:
Descending-Path Convolution Kernel for Syntactic Structures. ACL (2) 2014: 81-86 - 2013
- [c20]Dmitriy Dligach, Timothy A. Miller, Guergana Savova:
Discovering Body Site and Severity Modifiers in Clinical Texts. AMIA 2013 - [c19]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 - [c18]Timothy A. Miller, Dmitriy Dligach, Steven Bethard, Sameer Pradhan, Chen Lin, Guergana K. Savova:
Discovering Time Expressions in Clinical Text. AMIA 2013 - [c17]Stephen T. Wu, Timothy A. Miller, James J. Masanz, Matthew Coarr, David Carrell, Scott R. Halgrim, David Harris, Cheryl Clark:
Negation's Not Solved: Reconsidering Negation Annotation and Evaluation. AMIA 2013 - [c16]Timothy Miller, Steven Bethard, Dmitriy Dligach, Sameer Pradhan, Chen Lin, Guergana Savova:
Discovering Temporal Narrative Containers in Clinical Text. BioNLP@ACL 2013: 18-26 - [c15]Dmitriy Dligach, Timothy Miller, Guergana Savova:
Active Learning for Phenotyping Tasks. RANLP (Medicine and Biology) 2013: 1-8 - 2012
- [c14]Timothy A. Miller, Dmitriy Dligach, Guergana Savova:
Active Learning for Coreference Resolution. BioNLP@HLT-NAACL 2012: 73-81 - 2011
- [c13]Dingcheng Li, Tim Miller, William Schuler:
A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. ACL 2011: 1169-1178 - 2010
- [c12]Tim Miller, William Schuler:
HHMM Parsing with Limited Parallelism. CMCL@ACL 2010: 27-35 - 2009
- [c11]Tim Miller, Luan Nguyen, William Schuler:
Parsing Speech Repair without Specialized Grammar Symbols. ACL/IJCNLP (2) 2009: 277-280 - [c10]Tim Miller:
Word Buffering Models for Improved Speech Repair Parsing. EMNLP 2009: 737-745 - [c9]Tim Miller:
Improved Syntactic Models for Parsing Speech with Repairs. HLT-NAACL 2009: 656-664 - 2008
- [c8]Tim Miller, William Schuler:
A Unified Syntactic Model for Parsing Fluent and Disfluent Speech. ACL (2) 2008: 105-108 - [c7]Tim Miller, William Schuler:
A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech. COLING 2008: 569-576 - [c6]William Schuler, Samir AbdelRahman, Tim Miller, Lane Schwartz:
Toward a Psycholinguistically-Motivated Model of Language Processing. COLING 2008: 785-792 - 2007
- [c5]Tim Miller, Andrew Exley, William Schuler:
Elements of a spoken language programming interface for robots. HRI 2007: 231-237 - 2006
- [c4]William Schuler, Tim Miller, Stephen T. Wu, Andrew Exley:
Dynamic evidence models in a DBN phone recognizer. INTERSPEECH 2006 - 2005
- [c3]Shana Watters, Brian McInnes, David McKoskey, Tim Miller, Daniel Boley, Maria L. Gini, William Schuler, A. Polukeyeva, Jeanette K. Gundel, Sergey V. Pakhomov, Guergana Savova:
Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors 2005: 117- - [c2]Shana Watters, Tim Miller, Praveen Balachandran, William Schuler, Richard M. Voyles:
Exploiting a sensed environment to improve human-agent communication. AAMAS 2005: 44-50 - [c1]William Schuler, Tim Miller:
Integrating denotational meaning into a DBN language model. INTERSPEECH 2005: 901-904
Informal and Other Publications
- 2025
- [i29]Wonjin Yoon, Boyu Ren, Spencer Thomas, Chanwhi Kim, Guergana Savova, Mei-Hua Hall, Timothy Miller:
Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction. CoRR abs/2502.10388 (2025) - [i28]Wonjin Yoon, Ian Bulovic, Timothy A. Miller:
Using tournaments to calculate AUROC for zero-shot classification with LLMs. CoRR abs/2502.15018 (2025) - 2024
- [i27]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) - [i26]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? CoRR abs/2408.11854 (2024) - [i25]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) - [i24]Yingya Li, Timothy Miller, Steven Bethard, Guergana Savova:
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information. CoRR abs/2410.12774 (2024) - [i23]Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A. Miller, Danielle S. Bitterman, Guanhua Chen, Anoop M. Mayampurath, Matthew M. Churpek, Majid Afshar:
Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. CoRR abs/2411.04962 (2024) - 2023
- [i22]Yanjun Gao, Dmitriy Dligach, Timothy 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) - [i21]Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L. Warner, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Danielle S. Bitterman:
Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. CoRR abs/2303.13722 (2023) - [i20]Brihat Sharma, Yanjun Gao, Timothy Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach:
Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. CoRR abs/2306.04551 (2023) - [i19]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) - [i18]Yanjun Gao, Ruizhe Li, John R. Caskey, Dmitriy Dligach, Timothy Miller, Matthew M. Churpek, Majid Afshar:
Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. CoRR abs/2308.14321 (2023) - [i17]Weipeng Zhou, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller:
Considerations for health care institutions training large language models on electronic health records. CoRR abs/2309.12339 (2023) - [i16]Shan Chen, Marco Guevara, Shalini Moningi, Frank Hoebers, Hesham Elhalawani, Benjamin H. Kann, Fallon E. Chipidza, Jonathan Leeman, Hugo J. W. L. Aerts, Timothy A. Miller, Guergana K. Savova, Raymond H. Mak, Maryam Lustberg, Majid Afshar, Danielle S. Bitterman:
The impact of using an AI chatbot to respond to patient messages. CoRR abs/2310.17703 (2023) - 2022
- [i15]Yanjun Gao, Dmitriy Dligach, Timothy 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) - [i14]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. CoRR abs/2208.08408 (2022) - [i13]Yanjun Gao, Dmitriy Dligach, Timothy 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
- [i12]Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach:
Classifying Long Clinical Documents with Pre-trained Transformers. CoRR abs/2105.06752 (2021) - [i11]Dongfang Xu, Shan Chen, Timothy Miller:
BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning. CoRR abs/2111.13726 (2021) - [i10]Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy 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
- [i9]Dianbo Liu, Tim Miller:
Federated pretraining and fine tuning of BERT using clinical notes from multiple silos. CoRR abs/2002.08562 (2020) - [i8]Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts:
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review. CoRR abs/2010.02809 (2020) - 2019
- [i7]Timothy A. Miller:
Simplified Neural Unsupervised Domain Adaptation. CoRR abs/1905.09153 (2019) - [i6]Dianbo Liu, Dmitriy Dligach, Timothy Miller:
Two-stage Federated Phenotyping and Patient Representation Learning. CoRR abs/1908.05596 (2019) - [i5]Dianbo Liu, Tim Miller, Kenneth D. Mandl:
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence. CoRR abs/1910.02109 (2019) - 2018
- [i4]Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz:
Unsupervised Grammar Induction with Depth-bounded PCFG. CoRR abs/1802.08545 (2018) - [i3]Dmitriy Dligach, Timothy Miller:
Learning Patient Representations from Text. CoRR abs/1805.02096 (2018) - [i2]Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. CoRR abs/1809.03112 (2018) - [i1]Dianbo Liu, Timothy Miller, Raheel Sayeed, Kenneth D. Mandl:
FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record. CoRR abs/1811.11400 (2018)
Coauthor Index
[j27] [j26] [j25] [j21] [j19] [j17] [j13] [j11] [j10] [j7] [j6] [j5] [j4] [c62] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c49] [c47] [c45] [c44] [c41] [c40] [c38] [c35] [c34] [c31] [c30] [c28] [c27] [c26] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [i27] [i26] [i25] [i23] [i22] [i20] [i19] [i18] [i15] [i14] [i13] [i12] [i10] [i6] [i3]
Guergana K. Savova
aka: Guergana Savova
aka: Guergana Savova
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