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DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing


Sep 29, 2022
Yanjun Gao, Dmitriy Dligach, Timothy Miller, John Caskey, Brihat Sharma, Matthew M Churpek, Majid Afshar

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* Under review 

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Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models


Aug 17, 2022
Yanjun Gao, Dmitry Dligach, Timothy Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar

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* Paper is accepted to COLING 2022 

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Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding


Apr 06, 2022
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Samuel Tesch, Ryan Laffin, Matthew M. Churpek, Majid Afshar

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* To appear in 13th Language Resources and Evaluation Conference (LREC 2022) 

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A Scoping Review of Publicly Available Language Tasks in Clinical Natural Language Processing


Dec 07, 2021
Yanjun Gao, Dmitriy Dligach, Leslie Christensen, Samuel Tesch, Ryan Laffin, Dongfang Xu, Timothy Miller, Ozlem Uzuner, Matthew M Churpek, Majid Afshar

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* Paper submitted to Journal of American Medical Informatics Association (JAMIA) 

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BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning


Nov 26, 2021
Dongfang Xu, Shan Chen, Timothy Miller

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* Proceedings of the seventh BioCreative challenge evaluation workshop (https://biocreative.bioinformatics.udel.edu/resources/publications/bc-vii-workshop-proceedings/

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Classifying Long Clinical Documents with Pre-trained Transformers


May 14, 2021
Xin Su, Timothy Miller, Xiyu Ding, Majid Afshar, Dmitriy Dligach

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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review


Oct 06, 2020
Yuqi Si, Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W. Jim Zheng, Kirk Roberts

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Two-stage Federated Phenotyping and Patient Representation Learning


Aug 14, 2019
Dianbo Liu, Dmitriy Dligach, Timothy Miller

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* 9 pages; Proceedings of the 18th BioNLP Workshop and Shared Task 

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FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record


Dec 03, 2018
Dianbo Liu, Timothy Miller, Raheel Sayeed, Kenneth D. Mandl

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* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 
* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction


Sep 10, 2018
Lifeng Jin, Finale Doshi-Velez, Timothy Miller, William Schuler, Lane Schwartz

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* EMNLP 2018 

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