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2020 – today
- 2023
[j33]David Oniani, Bambang Parmanto, Andi Saptono
, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics 177: 105144 (2023)- [j32]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. 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) - [c64]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) 2023: 12532-12555 - [i29]Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang:
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR abs/2303.13466 (2023) - [i28]David Oniani, Bambang Parmanto, Andi Saptono, Allyn Bove, Janet Freburger, Shyam Visweswaran, Nickie Cappella, Brian McLay, Jonathan C. Silverstein, Michael J. Becich, Anthony Delitto, Elizabeth Skidmore, Yanshan Wang:
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR abs/2304.05929 (2023) - [i27]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - [i26]Sonish Sivarajkumar, Yufei Huang, Yanshan Wang:
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR abs/2306.03179 (2023) - [i25]David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang:
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. CoRR abs/2308.02448 (2023) - [i24]David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang:
Large Language Models Vote: Prompting for Rare Disease Identification. CoRR abs/2308.12890 (2023) - [i23]Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang:
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR abs/2309.08008 (2023) - 2022
- [j31]Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang:
Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision. BMC Medical Informatics Decis. Mak. 22-S(1): 88 (2022) - [j30]Nansu Zong, Andrew Wen, Sungrim Moon, Sunyang Fu, Liwei Wang, Yiqing Zhao, Yue Yu, Ming Huang, Yanshan Wang, Gang Zheng, Michelle M. Mielke, James R. Cerhan, Hongfang Liu:
Computational drug repurposing based on electronic health records: a scoping review. npj Digit. Medicine 5 (2022) - [c63]Renuk DeAlmeida, Dinuk DeAlmeida, Sreekanth Sreekumar, Yanshan Wang:
A Pilot Study of Automated Approaches to Translate Health Illiterate Language. AMIA 2022 - [c62]Sonish Sivarajkumar, Yanshan Wang:
HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. AMIA 2022 - [c61]Sonish Sivarajkumar, Yanshan Wang:
A Novel Zero-shot Learning Framework for Clinical Text Classification. AMIA 2022 - [c60]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c59]Can Zheng, Yanshan Wang, Xiaowei Jia:
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. ICHI 2022: 97-103 - [c58]Yanshan Wang, Xuebo Li:
Bibliometric Analysis of Pediatric Massage Based on CNKI. WI/IAT 2022: 640-643 - [i22]Sonish Sivarajkumar, Yanshan Wang:
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. CoRR abs/2203.05061 (2022) - [i21]Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang:
Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. CoRR abs/2204.09601 (2022) - [i20]Can Zheng, Yanshan Wang, Xiaowei Jia:
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. CoRR abs/2208.09437 (2022) - [i19]David Oniani, Sonish Sivarajkumar, Yanshan Wang:
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. CoRR abs/2208.14923 (2022) - [i18]David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang:
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. CoRR abs/2209.06723 (2022) - [i17]Hunter Osterhoudt, Courtney E. Schneider, Haneef Ahamed Mohammad, Minmei Shih, Alexandra E. Harper, Leming Zhou, Elizabeth R. Skidmore, Yanshan Wang:
Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing. CoRR abs/2209.06727 (2022) - 2021
- [j29]Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner:
Corrigendum to: The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. J. Am. Medical Informatics Assoc. 28(11): 2546 (2021) - [j28]Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu:
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 113: 103660 (2021) - [c57]Ming Huang, Aditya Khurana, George M. Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Julie Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Christi Patten, Jungwei Fan, Hongfang Liu:
Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. AMIA 2021 - [c56]Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu:
COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. AMIA 2021 - [c55]Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi Patten:
Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. AMIA 2021 - [c54]Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Yanshan Wang:
Detecting Major Depressive Disorder from Clinical Notes using Neural Language Models with Distant Supervision. AMIA 2021 - [c53]Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn:
Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo 2021: 757-761 - [i16]Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang:
Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision. CoRR abs/2101.09244 (2021) - [i15]Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang:
Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. CoRR abs/2102.04216 (2021) - [i14]Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Yanshan Wang:
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes. CoRR abs/2104.09644 (2021) - 2020
- [j27]Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner:
The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. J. Am. Medical Informatics Assoc. 27(10): 1529-1537 (2020) - [j26]Nathan D. Seligson, Jeremy L. Warner, William S. Dalton, David Martin, Robert S. Miller, Debra Patt, Kenneth L. Kehl, Matvey B. Palchuk, Gil Alterovitz, Laura K. Wiley, Ming Huang, Feichen Shen, Yanshan Wang, Khoa A. Nguyen, Anthony F. Wong, Funda Meric-Bernstam, Elmer V. Bernstam, James L. Chen:
Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. J. Am. Medical Informatics Assoc. 27(11): 1808-1812 (2020) - [j25]Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu:
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102: 103364 (2020) - [j24]Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Clinical concept extraction: A methodology review. J. Biomed. Informatics 109: 103526 (2020) - [j23]Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
MedSTS: a resource for clinical semantic textual similarity. Lang. Resour. Evaluation 54(1): 57-72 (2020) - [c52]Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J. Adam, Zhe He, Rui Zhang:
Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA 2020 - [c51]Luke A. Carlson, Molly M. Jeffery, Sunyang Fu, Huan He, Rozalina G. McCoy, Yanshan Wang, W. M. Hooten, Jennifer L. St. Sauver, Hongfang Liu, Jungwei Fan:
Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis. AMIA 2020 - [c50]Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang:
Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping. AMIA 2020 - [c49]David Oniani, Yanshan Wang:
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. BCB 2020: 33:1-33:9 - [c48]Yoonkwon Yi, Zitao Shen, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang:
Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer's Disease from Clinical Notes. ICHI 2020: 1-2 - [c47]Steve Chamberlin, Steven Bedrick, Aaron M. Cohen, Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu, William R. Hersh:
A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data. HSDM@WSDM 2020: 27-33 - [i13]David Oniani, Yanshan Wang:
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. CoRR abs/2006.10964 (2020)
2010 – 2019
- 2019
- [j22]Rezarta Islamaj Dogan, Sun Kim, Andrew Chatr-aryamontri, Chih-Hsuan Wei, Donald C. Comeau, Rui Antunes, Sérgio Matos, Qingyu Chen, Aparna Elangovan, Nagesh C. Panyam, Karin Verspoor, Hongfang Liu, Yanshan Wang, Zhuang Liu, Berna Altinel, Zehra Melce Hüsünbeyi, Arzucan Özgür, Aris Fergadis, Chen-Kai Wang, Hong-Jie Dai, Tung Tran, Ramakanth Kavuluru, Ling Luo, Albert Steppi, Jinfeng Zhang, Jinchan Qu, Zhiyong Lu:
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database J. Biol. Databases Curation 2019: bay147 (2019) - [j21]Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman:
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics 130 (2019) - [j20]Feichen Shen, Suyuan Peng, Yadan Fan, Andrew Wen, Sijia Liu, Yanshan Wang, Liwei Wang, Hongfang Liu:
HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology. J. Biomed. Informatics 96 (2019) - [j19]Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury:
Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. J. Heal. Informatics Res. 3(2): 200-219 (2019) - [j18]Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics Decis. Mak. 19(1): 1:1-1:13 (2019) - [j17]Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar-Mojarad, Yanshan Wang, Sijia Liu, Hongfang Liu:
Rare disease knowledge enrichment through a data-driven approach. BMC Medical Informatics Decis. Mak. 19(1): 32:1-32:11 (2019) - [j16]Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
Discovering associations between problem list and practice setting. BMC Medical Informatics Decis. Mak. 19-S(3): 13-22 (2019) - [j15]Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
Natural language processing of radiology reports for identification of skeletal site-specific fractures. BMC Medical Informatics Decis. Mak. 19-S(3): 23-29 (2019) - [j14]V. G. Vinod Vydiswaran, Yaoyun Zhang, Yanshan Wang, Hua Xu:
Special issue of BMC medical informatics and decision making on health natural language processing. BMC Medical Informatics Decis. Mak. 19-S(3): 76:1-76:3 (2019) - [j13]Yanshan Wang, Hua Xu, Özlem Uzuner:
Editorial: The second international workshop on health natural language processing (HealthNLP 2019). BMC Medical Informatics Decis. Mak. 19-S(5): 1 (2019) - [j12]Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu:
Natural language processing for populating lung cancer clinical research data. BMC Medical Informatics Decis. Mak. 19-S(5): 2 (2019) - [j11]Sijia Liu, Yanshan Wang, Hongfang Liu:
Selected articles from the BioCreative/OHNLP challenge 2018. BMC Medical Informatics Decis. Mak. 19-S(10): 262 (2019) - [c46]Yanshan Wang, Sunghwan Sohn:
Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA 2019 - [c45]Yanshan Wang, Andrew Wen, Sijia Liu, Jennifer L. St. Sauver, Adil E. Bharucha, Chunhua Weng, Hongfang Liu:
Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records. AMIA 2019 - [c44]Yiqing Zhao, Yanshan Wang, Paul R. Kingsbury, Michael Panzer, Richard Van Ert, Hongfang Liu:
Summarization of Patient Education Material for New Media Platform. AMIA 2019 - [c43]Ahmad P. Tafti, Yanshan Wang, Feichen Shen, Elham Sagheb, Paul R. Kingsbury, Hongfang Liu:
Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. BHI 2019: 1-4 - [c42]Andrew Wen, Yanshan Wang, Vinod C. Kaggal, Sijia Liu, Hongfang Liu, Jungwei Fan:
Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices. IEEE BigData 2019: 2800-2807 - [c41]Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu:
Information Extraction for Populating Lung Cancer Clinical Research Data. ICHI 2019: 1-2 - [c40]Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang:
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) 2019: 22-25 - [c39]Wei Li, Tianxin Dong, Yanshan Wang, Fan Zhao:
Research on Load Recognition Algorithms Based on Current Distortion and Harmonic Content. SSCI 2019: 2753-2758 - [c38]Wei Li, Tiantian Jian, Yanshan Wang, Xiang Ma:
Research on Virtual Machine Load Balancing Based on Improved Particle Swarm Optimization. SSCI 2019: 2846-2852 - [i12]Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William R. Hersh, Hongfang Liu:
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model. CoRR abs/1901.07601 (2019) - [i11]Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu:
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. CoRR abs/1905.10309 (2019) - [i10]Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu:
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? CoRR abs/1908.10678 (2019) - [i9]Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR abs/1910.11377 (2019) - 2018
- [j10]Sijia Liu, Feichen Shen, Ravikumar Komandur Elayavilli, Yanshan Wang, Majid Rastegar-Mojarad, Vipin Chaudhary, Hongfang Liu:
Extracting chemical-protein relations using attention-based neural networks. Database J. Biol. Databases Curation 2018: bay102 (2018) - [j9]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. 25(3): 353-359 (2018) - [j8]Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu:
Clinical information extraction applications: A literature review. J. Biomed. Informatics 77: 34-49 (2018) - [j7]Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu:
A comparison of word embeddings for the biomedical natural language processing. J. Biomed. Informatics 87: 12-20 (2018) - [c37]Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu:
Information Extraction for Data Population in Lung Cancer Clinical Research. AMIA 2018 - [c36]Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu:
EMIRS: An Electronic Medical Information Retrieval System by Leveraging both Structured and Unstructured Electronic Health Records. AMIA 2018 - [c35]Majid Rastegar-Mojarad, Sijia Liu, Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Sunyang Fu, Hongfang Liu:
BioCreative/OHNLP Challenge 2018. BCB 2018: 575 - [c34]Yiqing Zhao, Yanshan Wang, Henry Wang, Benjamin Yan, Feichen Shen, Kevin J. Peterson, Walter A. Rocca, Jennifer St. Sauver, Hongfang Liu:
Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility. BIBM 2018: 1310-1317 - [c33]Liwei Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Hongfang Liu:
Identification of Genetic Causality Statements in Medline Abstracts Leveraging Distant Supervision. ICHI Workshops 2018: 1-8 - [c32]Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Andrew Wen, Andrew H. Limper, Hongfang Liu:
Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement. ICHI Workshops 2018: 29-33 - [c31]Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
Predicting Practice Setting Using Topic Modeling. ICHI Workshops 2018: 62-63 - [c30]Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. ICHI Workshops 2018: 64-65 - [c29]Xin Zhou, Hongfang Liu, Yanshan Wang:
A Comparison of Lifestyle Interventions for Alzheimer's Disease Extracted from Clinical Notes and Literature. ICHI Workshops 2018: 74-75 - [c28]Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu:
MayoNLPTeam at the TREC 2018 Precision Medicine Track: Simple Information Retrieval Approach Is the Best. TREC 2018 - [i8]Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu:
A Comparison of Word Embeddings for the Biomedical Natural Language Processing. CoRR abs/1802.00400 (2018) - [i7]Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu:
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. CoRR abs/1804.07814 (2018) - [i6]Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
MedSTS: A Resource for Clinical Semantic Textual Similarity. CoRR abs/1808.09397 (2018) - 2017
- [j6]Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Hongfang Liu:
Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts. Database J. Biol. Databases Curation 2017: bax091 (2017) - [j5]Yanshan Wang, In-Chan Choi, Hongfang Liu:
Generalized ensemble model for document ranking in information retrieval. Comput. Sci. Inf. Syst. 14(1): 123-151 (2017) - [j4]Stephen T. Wu, Sijia Liu, Yanshan Wang, Tamara Timmons, Harsha Uppili, Steven Bedrick, William R. Hersh, Hongfang Liu:
Intrainstitutional EHR collections for patient-level information retrieval. J. Assoc. Inf. Sci. Technol. 68(11): 2636-2648 (2017) - [c27]Naveed Afzal, Yanshan Wang, Feichen Shen, Liwei Wang, Hongfang Liu:
A Resource for Clinical Semantic Textual Similarity. AMIA 2017 - [c26]Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu:
Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis. AMIA 2017 - [c25]Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu:
Accelerating Rare Disease Diagnosis with Collaborative Filtering. AMIA 2017 - [c24]Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Hongfang Liu:
Semantic Representations of Medical Terms: A Comparison Study of Word Embeddings Trained on Clinical Notes and PubMed Articles. AMIA 2017 - [c23]Yuqun Zeng, Yanshan Wang, Feichen Shen, Sijia Liu, Liwei Wang, Majid Rastegar-Mojarad, Xusheng Liu, Hongfang Liu:
Recommending education materials for diabetic questions using information retrieval approaches. AMIA 2017 - [c22]Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu:
Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature. BCB 2017: 36-43 - [c21]Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu:
Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. BIBM 2017: 1495-1500 - [c20]Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sijia Liu, Feichen Shen, Hongfang Liu:
Content Analysis of Free-Text Family History. CRI 2017 - [c19]Sijia Liu, Yanshan Wang, Na Hong, Feichen Shen, Stephen T. Wu, William R. Hersh, Hongfang Liu:
On Mapping Textual Queries to a Common Data Model. ICHI 2017: 21-25 - [c18]Stephen T. Wu, Andrew Wen, Yanshan Wang, Sijia Liu, Hongfang Liu:
Aligned-Layer Text Search in Clinical Notes. MedInfo 2017: 629-633 - [c17]Yanshan Wang, Ravikumar Komandur Elayavilli, Majid Rastegar-Mojarad, Hongfang Liu:
Leveraging both Structured and Unstructured Data for Precision Information Retrieval. TREC 2017 - 2016
- [j3]Yanshan Wang, Jae-Sung Lee, In-Chan Choi:
Indexing by Latent Dirichlet Allocation and an Ensemble Model. J. Assoc. Inf. Sci. Technol. 67(7): 1736-1750 (2016) - [j2]Yanshan Wang, Stephen T. Wu, Dingcheng Li, Saeed Mehrabi, Hongfang Liu:
A Part-Of-Speech term weighting scheme for biomedical information retrieval. J. Biomed. Informatics 63: 379-389 (2016) - [c16]Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu:
A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. AMIA 2016 - [c15]Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu:
Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. AMIA 2016 - [c14]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Asthma Ascertainment NLP System Portability across Institutions. AMIA 2016 - [c13]Yanshan Wang, Stephen T. Wu, Dingcheng Li, Hongfang Liu:
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