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  2023 (6)
Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans. Mitra, A.; Pradhan, R.; Melamed, R. D.; Chen, K.; Hoaglin, D. C.; Tucker, K. L.; Reisman, J. I.; Yang, Z.; Liu, W.; Tsai, J.; and Yu, H. JAMA Network Open, 6(3): e233079–e233079. March 2023. _eprint: https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2802468/mitra_2023_oi_230126_1678209361.50297.pdf
Associations Between Natural Language Processing–Enriched Social Determinants of Health and Suicide Death Among US Veterans [link]Paper   doi   link   bibtex   abstract  
Web Information Extraction for Social Good: Food Pantry Answering As an Example. Chen, H.; and Yu, H. In Austin, TX, May 2023. ACM The Web Conference 2023, Austin TX
doi   link   bibtex   abstract  
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk. Lalor, J. P.; Wu, H.; Mazor, K. M.; and Yu, H. International Journal of Medical Informatics, 172: 105006. April 2023.
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical Turk [link]Paper   doi   link   bibtex   abstract  
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing. Yao, Z.; Cao, Y.; Yang, Z.; and Yu, H. March 2023. AMIA 2023 Informatics Summit, Seattle WA
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing [link]Paper   link   bibtex   abstract  
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt. Yang, Z.; Kwon, S.; Yao, Z.; and Yu, H. February 2023. AAAI 2023, Washington DC
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt [link]Paper   link   bibtex   abstract  
H4H: A Comprehensive Repository of Housing Resources for Homelessness. Osebe, S.; Tsai, J.; and Yu, H. In Seattle WA, USA, March 2023. AMIA 2023 Informatics Summit, Seattle WA
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  2022 (27)
Automated Identification of Eviction Status from Electronic Health Record Notes. Yao, Z.; Tsai, J.; Liu, W.; Levy, D. A.; Druhl, E.; Reisman, J. I.; and Yu, H. December 2022. arXiv:2212.02762 [cs]
Automated Identification of Eviction Status from Electronic Health Record Notes [link]Paper   doi   link   bibtex   abstract  
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models. Yang, Z.; Liu, W.; Berlowitz, D.; and Yu, H. December 2022. arXiv:2212.12067 [cs]
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models [link]Paper   doi   link   bibtex   abstract  
Geographic Disparities in Prevalence of Opioid Use Disorders in US Veterans. Li, W.; Leon, C.; Liu, W.; Sung, M. L.; Kerns, R. D.; Becker, W. C.; and Yu, H. In Boston MA, November 2022. APHA 2022 Annual Meeting and Expo
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Prevalence of Frailty and Associations with Oral Anticoagulant Prescribing in Atrial Fibrillation. Sanghai, S. R.; Liu, W.; Wang, W.; Rongali, S.; Orkaby, A. R.; Saczynski, J. S.; Rose, A. J.; Kapoor, A.; Li, W.; Yu, H.; and McManus, D. D. Journal of General Internal Medicine, 37(4): 730–736. March 2022.
Prevalence of Frailty and Associations with Oral Anticoagulant Prescribing in Atrial Fibrillation [link]Paper   doi   link   bibtex   abstract  
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. Cai, P.; Wan, H.; Liu, F.; Yu, M.; Yu, H.; and Joshi, S. In Seattle WA, USA, July 2022. NAACL 2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition [link]Paper   link   bibtex  
Using data science to improve outcomes for persons with opioid use disorder. Hayes, C. J.; Cucciare, M. A.; Martin, B. C.; Hudson, T. J.; Bush, K.; Lo-Ciganic, W.; Yu, H.; Charron, E.; and Gordon, A. J. Substance Abuse, 43(1): 956–963. 2022.
Using data science to improve outcomes for persons with opioid use disorder [link]Paper   doi   link   bibtex   abstract  
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context. Yao, Z.; Cao, Y.; Yang, Z.; Deshpande, V.; and Yu, H. In Washington DC USA, November 2022. AMIA Annual Symposium
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context [pdf]Paper   link   bibtex   abstract  
Generation of Patient After-Visit Summaries to Support Physicians. Cai, P.; Liu, F.; Bajracharya, A.; Sills, J.; Kapoor, A.; Liu, W.; Berlowitz, D.; Levy, D.; Pradhan, R.; and Yu, H. In Proceedings of the 29th International Conference on Computational Linguistics, pages 6234–6247, Gyeongju, Republic of Korea, October 2022. International Committee on Computational Linguistics
Generation of Patient After-Visit Summaries to Support Physicians [link]Paper   link   bibtex   abstract  
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding. Yang, Z.; Wang, S.; Rawat, B. P. S.; Mitra, A.; and Yu, H. In Abu Dhabi, United Arab Emirates, December 2022. Findings of the Association for Computational Linguistics: EMNLP 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding [pdf]Paper   link   bibtex  
ScAN: Suicide Attempt and Ideation Events Dataset. Rawat, B. P. S.; Kovaly, S.; Pigeon, W. R.; and Yu, H. July 2022. NAACL 2022
ScAN: Suicide Attempt and Ideation Events Dataset [link]Paper   link   bibtex   abstract  
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score. Kwon, S.; Yao, Z.; Jordan, H. S.; Levy, D. A.; Corner, B.; and Yu, H. December 2022. Number: arXiv:2210.05875 arXiv:2210.05875 [cs] The 2022 Conference on Empirical Methods in Natural Language Processing
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score [link]Paper   link   bibtex   abstract  
An Investigation of Social Determinants of Health in UMLS. Rawat, B. P. S.; and Yu, H. In Houston TX USA, May 2022. AMIA Clinical Informatics 2022
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Generating Coherent Narratives with Subtopic Planning to Answer How-to Questions. Cai, P.; Yu, M.; Liu, F.; and Yu, H. In Abu Dhabi, December 2022. The GEM Workshop at EMNLP 2022
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Parameter Efficient Transfer Learning for Suicide Attempt and Ideation Detection. Rawat, B. P. S.; and Yu, H. In Abu Dhabi, December 2022. LOUHI 2022
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UMass A&P: An Assessment and Plan Reasoning System of UMass in the 2022 N2C2 Challenge. Kwon, S.; Yang, Z.; and Yu, H. November 2022. 2022 n2c2 Workshop, Washington DC
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Racial differences in receipt of medications for opioid use disorder before and during the COVID-19 pandemic in the Veterans Health Administration. Sung, M. L.; Li, W.; León, C.; Reisman, J.; Liu, W.; Kerns, R. D.; Yu, H.; and Becker, W. C. November 2022. APHA 2022 Annual Meeting and Expo, Boston MA
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Using Machine Learning to Predict Opioid Overdose Using Electronic Health Record. Wang, X.; Li, R.; Druhl, E.; Li, W.; Sung, M. L.; Kerns, R. D.; Becker, W. C.; and Yu, H. November 2022. APHA 2022 Annual Meeting and Expo, Boston MA
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Automatically Detecting Opioid-Related Aberrant Behaviors from Electronic Health Records. Wang, X.; Li, R.; Lingeman, J. M.; Druhl, E.; Li, W.; Sung, M. L.; Kerns, R. D.; Becker, W. C.; and Yu, H. November 2022. APHA 2022 Annual Meeting and Expo, Boston MA
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An Investigation of the Representation of Social Determinants of Health in the UMLS. Rawat, B. P. S.; Keating, H.; Goodwin, R.; Druhl, E. B.; and Yu, H. In Washington, D.C., November 2022. AMIA 2022 Annual Symposium
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Pretraining of Patient Representations On Structured Electronic Health Records for Patient Outcome Prediction: case study as self-harm screening tool. Yang, Z.; and Hong, Y. In Washington DC USA, June 2022. ARM2022
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Risk Factors Associated with Nonfatal Opioid Overdose Leading to Intensive Care Unit Admission: A Cross-Sectional Study. Mitra, A.; Ahsan, H.; Li, W.; Liu, W.; Kerns, R. D.; Tsai, J.; Becker, W. C.; Smelson, D. A.; and Yu, H. In Washington DC USA, June 2022. ARM 2022
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SBDH and Suicide: A Multi-Task Learning Framework for SBDH Detection in Electronic Health Records Using NLP. Mitra, A.; Rawat, B. P. S.; Druhl, E. B.; Keating, H.; Goodwin, R.; Hu, W.; Liu, W.; Tsai, J.; Smelson, D. A.; and Yu, H. In Washington DC USA, June 2022. ARM 2022
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Studying Association of Traumatic Brain Injury and Posttraumatic Stress Disorder Diagnoses with Hospitalized Self-Harm Among US Veterans, 2008-2017. Rawat, B. P. S.; Reisman, J.; Rongali, S.; Liu, W.; Yu, H.; and Carlson, K. In Washington DC USA, June 2022. ARM 2022 (Poster)
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NLP and Annie App for Social Determinants of Health. Mahapatra, S.; Chen, H.; Tsai, J.; and Yu, H. In Houston TX USA, May 2022. AMIA Clinical Informatics 2022
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EASE: A Tool to Extract Social Determinants of Health from Electronic Health Records. Rawat, B. P. S.; and Yu, H. In Houston TX USA, May 2022. AMIA Clinical Informatics 2022 (System Demo)
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The association of prescribed long-acting versus short-acting opioids and mortality among older adults. Sung, M.; Smirnova, J.; Li, W.; Liu, W.; Kerns, R. D.; Reisman, J. I.; Yu, H.; and Becker, W. C. In Society of General Internal Medicine Annual National Meeting, Orlando, Florida, USA, April 2022.
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EHR Cohort Development Using Natural Language Processing For Identifying Symptoms Of Alzheimer's Disease. Yu, H.; Mitra, A.; Keating, H.; Liu, W.; Hu, W.; Xia, W.; Morin, P.; Berlowitz, D. R.; Bray, M.; Monfared, A.; and Zhang, Q. In Barcelona, Spain (Online), March 2022. AD/PD 2022
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  2021 (9)
Risk Factors Associated With Nonfatal Opioid Overdose Leading to Intensive Care Unit Admission: A Cross-sectional Study. Mitra, A.; Ahsan, H.; Li, W.; Liu, W.; Kerns, R. D.; Tsai, J.; Becker, W.; Smelson, D. A.; and Yu, H. JMIR medical informatics, 9(11): e32851. November 2021.
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Evaluating the effectiveness of noteaid in a community hospital setting: randomized trial of electronic health record note comprehension interventions with patients. Lalor, J. P; Hu, W.; Tran, M.; Wu, H.; Mazor, K. M; and Yu, H. Journal of Medical Internet Research, 23(5). 2021.
Evaluating the effectiveness of noteaid in a community hospital setting: randomized trial of electronic health record note comprehension interventions with patients [link]Paper   doi   link   bibtex   abstract  
MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health. Ahsan, H.; Ohnuki, E.; Mitra, A.; and Yu, H. Proceedings of Machine Learning Research, 149: 391–413. August 2021.
MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health [link]Paper   link   bibtex   abstract  
SBDH and Suicide: A Multi-task Learning Framework for SBDH in Electronic Health Records. Mitra, A.; Rawat, B. P. S.; Druhl, E.; Keating, H.; Goodwin, R.; Hu, W.; Liu, W.; Tsai, J.; Smelson, D. A.; and Yu, H. In Online, October 2021. SciNLP 2021
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Membership Inference Attack Susceptibility of Clinical Language Models. Jagannatha, A.; Rawat, B. P. S.; and Yu, H. CoRR, abs/2104.08305. 2021. arXiv: 2104.08305
Membership Inference Attack Susceptibility of Clinical Language Models [link]Paper   link   bibtex   abstract  
Guideline-discordant dosing of direct-acting oral anticoagulants in the veterans health administration. Rose, A. J.; Lee, J. S.; Berlowitz, D. R.; Liu, W.; Mitra, A.; and Yu, H. BMC Health Services Research, 21(1): 1351. December 2021.
Guideline-discordant dosing of direct-acting oral anticoagulants in the veterans health administration [link]Paper   doi   link   bibtex   abstract  
Improving Formality Style Transfer with Context-Aware Rule Injection. Yao, Z.; and Yu, H. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 1561–1570, Online, August 2021. Association for Computational Linguistics
Improving Formality Style Transfer with Context-Aware Rule Injection [link]Paper   doi   link   bibtex   abstract  
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study. Mitra, A.; Rawat, B. P. S.; McManus, D. D.; and Yu, H. JMIR Medical Informatics, 9(7): e27527. July 2021. Company: JMIR Medical Informatics Distributor: JMIR Medical Informatics Institution: JMIR Medical Informatics Label: JMIR Medical Informatics Publisher: JMIR Publications Inc., Toronto, Canada
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study [link]Paper   doi   link   bibtex   abstract  
Epinoter: A Natural Language Processing Tool for Epidemiological Studies. Liu, W.; Li, F.; Jin, Y.; Granillo, E.; Yarzebski, J.; Li, W.; and Yu, H. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, volume 5, pages 754–761, February 2021.
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  2020 (15)
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes. Rawat, B. P. S.; Jagannatha, A.; Liu, F.; and Yu, H. In AMIA Fall Symposium, pages 1041–1049, 2020.
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes [link]Paper   link   bibtex   abstract  
Calibrating Structured Output Predictors for Natural Language Processing. Jagannatha, A.; and Yu, H. In 2020 Annual Conference of the Association for Computational Linguistics (ACL), volume Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 2078–2092, July 2020. NIHMSID: NIHMS1661932
Calibrating Structured Output Predictors for Natural Language Processing. [link]Paper   doi   link   bibtex   abstract  
Conversational machine comprehension: a literature review. Gupta, S.; Rawat, B. P. S.; and Yu, H. arXiv preprint arXiv:2006.00671,2739–2753. December 2020. COLING 2020
Conversational machine comprehension: a literature review [link]Paper   doi   link   bibtex   abstract  
Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems. Mitra, A.; Rawat, B. P. S.; McManus, D.; Kapoor, A.; and Yu, H. In AMIA Annu Symp Proc, pages 860–869, 2020.
Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems [link]Paper   link   bibtex   abstract  
Neural Multi-Task Learning for Adverse Drug Reaction Extraction. Liu, F.; Zheng, X.; Yu, H.; and Tjia, J. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020: 756–762. 2020.
Neural Multi-Task Learning for Adverse Drug Reaction Extraction [pdf]Paper   link   bibtex   abstract  
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab. Jin, Y.; Li, F.; and Yu, H. In 2020 Annual Conference of the Association for Computational Linguistics (ACL), pages 95–100, July 2020. NIHMSID: NIHMS1644629
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab. [link]Paper   doi   link   bibtex   abstract  
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network. Li, F.; and Yu, H. In The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pages 8180–8187, New York City, New York, February 2020.
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Improved Pretraining for Domain-specific Contextual Embedding Models. Rongali, S.; Jagannatha, A.; Rawat, B. P. S.; and Yu, H. CoRR, abs/2004.02288. 2020. arXiv: 2004.02288
Improved Pretraining for Domain-specific Contextual Embedding Models [link]Paper   link   bibtex  
Neural data-to-text generation with dynamic content planning. Chen, K.; Li, F.; Hu, B.; Peng, W.; Chen, Q.; Yu, H.; and Xiang, Y. Knowledge-Based Systems,106610. November 2020.
Neural data-to-text generation with dynamic content planning [link]Paper   doi   link   bibtex   abstract  
Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation. Hu, B.; Bajracharya, A.; and Yu, H. JMIR Medical Informatics, 8(1): e14971. 2020. Company: JMIR Medical Informatics Distributor: JMIR Medical Informatics Institution: JMIR Medical Informatics Label: JMIR Medical Informatics Publisher: JMIR Publications Inc., Toronto, Canada
Generating Medical Assessments Using a Neural Network Model: Algorithm Development and Validation [link]Paper   doi   link   bibtex   abstract  
Dynamic Data Selection for Curriculum Learning via Ability Estimation. Lalor, J. P.; and Yu, H. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 545–555, Online, November 2020. Association for Computational Linguistics
Dynamic Data Selection for Curriculum Learning via Ability Estimation [link]Paper   link   bibtex   abstract  
Generating Accurate Electronic Health Assessment from Medical Graph. Yang, Z.; and Yu, H. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 3764–3773, Online, November 2020. Association for Computational Linguistics NIHMSID: NIHMS1658452
Generating Accurate Electronic Health Assessment from Medical Graph [link]Paper   link   bibtex   abstract  
Neural Data-to-Text Generation with Dynamic Content Planning. Chen, K.; Li, F.; Hu, B.; Peng, W.; Chen, Q.; and Yu, H. arXiv:2004.07426 [cs]. April 2020. arXiv: 2004.07426
Neural Data-to-Text Generation with Dynamic Content Planning [link]Paper   link   bibtex   abstract  
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab. Jin, Y; Li, F; and Yu, H In AMIA Fall Symposium, 2020.
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Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation. Rongali, S.; Rose, A. J.; McManus, D. D.; Bajracharya, A. S.; Kapoor, A.; Granillo, E.; and Yu, H. Journal of Medical Internet Research, 22(3): e16374. 2020. Company: Journal of Medical Internet Research Distributor: Journal of Medical Internet Research Institution: Journal of Medical Internet Research Label: Journal of Medical Internet Research Publisher: JMIR Publications Inc., Toronto, Canada
Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation [link]Paper   doi   link   bibtex   abstract  
  2019 (15)
Improving electronic health record note comprehension with noteaid: randomized trial of electronic health record note comprehension interventions with crowdsourced workers. Lalor, J. P.; Woolf, B.; and Yu, H. Journal of Medical Internet Research, 21(1): e10793. 2019.
Improving electronic health record note comprehension with noteaid: randomized trial of electronic health record note comprehension interventions with crowdsourced workers [link]Paper   doi   link   bibtex   abstract  
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. Li, F.; Jin, Y.; Liu, W.; Rawat, B. P. S.; Cai, P.; and Yu, H. JMIR Medical Informatics, 7(3): e14830. September 2019.
Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study [link]Paper   doi   link   bibtex  
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Chen, J.; Lalor, J.; Liu, W.; Druhl, E.; Granillo, E.; Vimalananda, V. G; and Yu, H. Journal of Medical Internet Research, 21(3). March 2019.
Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance [link]Paper   doi   link   bibtex   abstract  
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study. Jin, Y.; Li, F.; Vimalananda, V. G.; and Yu, H. JMIR Medical Informatics, 7(4): e14340. 2019.
Automatic Detection of Hypoglycemic Events From the Electronic Health Record Notes of Diabetes Patients: Empirical Study [link]Paper   doi   link   bibtex   abstract  
Learning to detect and understand drug discontinuation events from clinical narratives. Liu, F.; Pradhan, R.; Druhl, E.; Freund, E.; Liu, W.; Sauer, B. C.; Cunningham, F.; Gordon, A. J.; Peters, C. B.; and Yu, H. Journal of the American Medical Informatics Association, 26(10): 943–951. October 2019.
Learning to detect and understand drug discontinuation events from clinical narratives [link]Paper   doi   link   bibtex   abstract  
Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0). Jagannatha, A.; Liu, F.; Liu, W.; and Yu, H. Drug Safety, (1): 99–111. January 2019.
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Naranjo Question Answering using End-to-End Multi-task Learning Model. Rawat, B. P; Li, F.; and Yu, H. 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD),2547–2555. 2019.
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A neural abstractive summarization model guided with topic sentences. ICONIP. Chen, C.; Hu, B.; Chen, Q.; and Yu, H. In 2019.
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An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models. Li, F.; and Yu, H. Journal of the American Medical Informatics Association, 26(7): 646–654. July 2019.
An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models [link]Paper   doi   link   bibtex   abstract  
Anticoagulant prescribing for non-valvular atrial fibrillation in the Veterans Health Administration. Rose, A.; Goldberg, R; McManus, D.; Kapoor, A; Wang, V; Liu, W; and Yu, H Journal of the American Heart Association. 2019.
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Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds. Lalor, J. P.; Wu, H.; and Yu, H. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 4240–4250, Hong Kong, China, November 2019. Association for Computational Linguistics NIHMSID: NIHMS1059054
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds [link]Paper   doi   link   bibtex   abstract  
Clinical Question Answering from Electronic Health Records. In the MLHC 2019 research track proceedings. Singh, B.; Li, F.; and Yu, H. In The MLHC 2019 research track proceedings, 2019.
Clinical Question Answering from Electronic Health Records. In the MLHC 2019 research track proceedings [pdf]Paper   link   bibtex  
Comparing Human and DNN-Ensemble Response Patterns for Item Response Theory Model Fitting. Lalor, J.; Wu, H.; and Yu, H. 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)The Workshop on Cognitive Modeling and Computational Linguistics (CMCL). 2019.
Comparing Human and DNN-Ensemble Response Patterns for Item Response Theory Model Fitting [pdf]Paper   link   bibtex  
QuikLitE, a Framework for Quick Literacy Evaluation in Medicine: Development and Validation. Zheng, J.; and Yu, H. Journal of Medical Internet Research, 21(2): e12525. 2019.
QuikLitE, a Framework for Quick Literacy Evaluation in Medicine: Development and Validation [link]Paper   doi   link   bibtex   abstract  
Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records. Liu, F.; Jagannatha, A.; and Yu, H. Drug Safety. January 2019.
Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records [link]Paper   doi   link   bibtex  
  2018 (13)
A natural language processing system that links medical terms in electronic health record notes to lay definitions: system development using physician reviews. Chen, J.; Druhl, E.; Polepalli Ramesh, B.; Houston, T. K.; Brandt, C. A.; Zulman, D. M.; Vimalananda, V. G.; Malkani, S.; and Yu, H. Journal of Medical Internet Research, 20(1): e26. January 2018.
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Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning. Munkhdalai, T.; Liu, F.; and Yu, H. JMIR public health and surveillance, 4(2): e29. April 2018.
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A hybrid Neural Network Model for Joint Prediction of Presence and Period Assertions of Medical Events in Clinical Notes. Rumeng, L.; Abhyuday N, J.; and Hong, Y. AMIA Annual Symposium Proceedings, 2017: 1149–1158. April 2018.
A hybrid Neural Network Model for Joint Prediction of Presence and Period Assertions of Medical Events in Clinical Notes [link]Paper   link   bibtex   abstract  
Assessing Readability of Medical Documents: A Ranking Approach. Zheng, J.; and Yu, H The Journal of Medical Internet Research Medical Informatics. March 2018.
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Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. Lalor, J.; Wu, H.; Munkhdalai, T.; and Yu, H. In EMNLP, 2018.
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study [link]Paper   doi   link   bibtex   abstract  
Soft Label Memorization-Generalization for Natural Language Inference. Lalor, J.; Wu, H.; and Yu, H. In 2018.
Soft Label Memorization-Generalization for Natural Language Inference. [link]Paper   link   bibtex   abstract  
Sentence Simplification with Memory-Augmented Neural Networks. Vu, T.; Hu, B.; Munkhdalai, T.; and Yu, H. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018.
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Recent Trends In Oral Anticoagulant Use and Post-Discharge Complications Among Atrial Fibrillation Patients With Acute Myocardial Infarction. Amartya Kundu; Kevin O ’Day; Darleen M. Lessard; Joel M. Gore1; Steven A. Lubitz; Hong Yu; Mohammed W. Akhter; Daniel Z. Fisher; Robert M. Hayward Jr.; Nils Henninger; Jane S. Saczynski; Allan J. Walkey; Alok Kapoor; Jorge Yarzebski; Robert J. Goldberg; and David D. McManus In 2018. Journal of Atrial Fibrillation
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ComprehENotes: An Instrument to Assess Patient EHR Note Reading Comprehension of Electronic Health Record Notes: Development and Validation. Lalor, J; Wu, H; Chen, L; Mazor, K; and Yu, H The Journal of Medical Internet Research. April 2018.
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Detecting Hypoglycemia Incidence from Patients’ Secure Messages. Chen, J; and Yu, H In 2018.
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Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning. Li, F.; Liu, W.; and Yu, H. JMIR medical informatics, 6(4): e12159. November 2018.
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Reference Standard Development to Train Natural Language Processing Algorithms to Detect Problematic Buprenorphine-Naloxone Therapy. Celena B Peters; Fran Cunningham; Adam Gordon; Hong Yu; Cedric Salone; Jessica Zacher; Ronald Carico; Jianwei Leng; Nikolh Durley; Weisong Liu; Chao-Chin Lu; Emily Druhl; Feifan Liu; and Brian C Sauer In VA Pharmacy Informatics Conference 2018, 2018.
Reference Standard Development to Train Natural Language Processing Algorithms to Detect Problematic Buprenorphine-Naloxone Therapy [link]Paper   link   bibtex  
Inadequate diversity of information resources searched in US-affiliated systematic reviews and meta-analyses: 2005-2016. Pradhan, R.; Garnick, K.; Barkondaj, B.; Jordan, H. S.; Ash, A.; and Yu, H. Journal of Clinical Epidemiology, 102: 50–62. October 2018.
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  2017 (10)
Ranking medical terms to support expansion of lay language resources for patient comprehension of electronic health record notes: adapted distant supervision approach. Chen, J.; Jagannatha, A. N.; Fodeh, S. J.; and Yu, H. JMIR medical informatics, 5(4): e42. October 2017.
doi   link   bibtex   abstract  
Meta Networks. Munkhdalai, T.; and Yu, H. In ICML, volume 70, pages 2554–2563, Sydney, Australia, August 2017.
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Neural Semantic Encoders. Munkhdalai, T; and Yu, H. In European Chapter of the Association for Computational Linguistics 2017 (EACL), volume 1, pages 397–407, April 2017.