Yanshan Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 142

Top Venues

CoRR

AMIA

J. Biomed. Informatics

BMC Medical Informatics Decis. Mak.

Publications

Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. NAACL-HLT (2024)
Shashi Kant Gupta, Aditya Basu, Mauro Nievas, Jerrin Thomas, Nathan Wolfrath, Adhitya Ramamurthi, Bradley Taylor, Anai N. Kothari, Regina Schwind, Therica M. Miller, Sorena Nadaf-Rahrov, Yanshan Wang, Hrituraj Singh
PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models. CoRR (2024)
Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang, Zeshui Yu, Hui Ji, Yushui Han, Hanyu Zeng, Daqing He
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. CoRR (2024)
Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, LiRong Wang
Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang
Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. CoRR (2024)
Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153 (2024)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 7 (1) (2024)
David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR (2024)
Yuelyu Ji, Zeshui Yu, Yanshan Wang
Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning. CoRR (2024)
Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang
Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. 8 (2) (2024)
David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang
Emerging Opportunities of Using Large Language Language Models for Translation Between Drug Molecules and Indications. CoRR (2024)
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor, Alisa V. Stolyar, Katelyn Polanska, Karleigh R. McCarthy, Hunter Osterhoudt, Xizhi Wu, Shyam Visweswaran, Sunyang Fu, Piyush Mathur, Giovanni E. Cacciamani, Cong Sun, Yifan Peng, Yanshan Wang
A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR (2024)
Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR (2024)
Sunyang Fu, Liwei Wang, Huan He, Andrew Wen, Nansu Zong, Anamika Kumari, Feifan Liu, Sicheng Zhou, Rui Zhang, Chenyu Li, Yanshan Wang, Jennifer St Sauver, Hongfang Liu, Sunghwan Sohn
A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR (2023)
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 (2023)
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 (2023)
David Oniani, Yanshan Wang
In-Context Learning Functions with Varying Number of Minima. CoRR (2023)
Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR (2023)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR (2023)
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 (2023)
David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang
Large Language Models Vote: Prompting for Rare Disease Identification. CoRR (2023)
Sonish Sivarajkumar, Yanshan Wang
Evaluation of Healthprompt for Zero-shot Clinical Text Classification. ICHI (2023)
Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. J. Biomed. Informatics 148 (2023)
Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. CoRR (2023)
Hunter Osterhoudt, Liann Ching, Minmei Shih, Courtney E. Schneider, Alexandra E. Harper, Haneef Ahamed Mohammad, Elizabeth R. Skidmore, Yanshan Wang, Leming Zhou
Feasibility of Categorizing Rehabilitation Gestures for Automated Fidelity Assessment on Strategy Training using Deep Learning. ICHI (2023)
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)
Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR (2023)
Kurt Miller, Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Ming Huang, Yanshan Wang
Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. ICHI (2023)
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 (2023)
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 (2023)
Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
Distilling Large Language Models for Matching Patients to Clinical Trials. CoRR (2023)
David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang
Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digit. Medicine 6 (2023)
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 (2023)
Yanshan Wang, Xuebo Li
Bibliometric Analysis of Pediatric Massage Based on CNKI. WI/IAT (2022)
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 (2022)
David Oniani, Sonish Sivarajkumar, Yanshan Wang
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. CoRR (2022)
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 (2022)
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 (2022)
Sonish Sivarajkumar, Yanshan Wang
A Novel Zero-shot Learning Framework for Clinical Text Classification. AMIA (2022)
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. (1) (2022)
Can Zheng, Yanshan Wang, Xiaowei Jia
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. ICHI (2022)
Sonish Sivarajkumar, Yanshan Wang
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. CoRR (2022)
Sonish Sivarajkumar, Yanshan Wang
HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. AMIA (2022)
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)
Can Zheng, Yanshan Wang, Xiaowei Jia
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. CoRR (2022)
Renuk DeAlmeida, Dinuk DeAlmeida, Sreekanth Sreekumar, Yanshan Wang
A Pilot Study of Automated Approaches to Translate Health Illiterate Language. AMIA (2022)
Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL (2022)
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)
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) (2021)
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 (2021)
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 (2021)
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)
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 (2021)
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 (2021)
Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu
COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. AMIA (2021)
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)
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)
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) (2020)
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 (2020)
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)
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)
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)
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) (2020)
David Oniani, Yanshan Wang
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. BCB (2020)
David Oniani, Yanshan Wang
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. CoRR (2020)
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)
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 (2020)
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)
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) (2020)
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)
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) (2019)
Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu
Information Extraction for Populating Lung Cancer Clinical Research Data. ICHI (2019)
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. (5) (2019)
Yanshan Wang, Hua Xu, Özlem Uzuner
Editorial: The second international workshop on health natural language processing (HealthNLP 2019). BMC Medical Informatics Decis. Mak. (5) (2019)
Wei Li, Tiantian Jian, Yanshan Wang, Xiang Ma
Research on Virtual Machine Load Balancing Based on Improved Particle Swarm Optimization. SSCI (2019)
Yanshan Wang, Sunghwan Sohn
Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA (2019)
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)
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 (2019)
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. (3) (2019)
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) (2019)
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 (2019)
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) (2019)
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 (2019)
Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang
Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) (2019)
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)
Wei Li, Tianxin Dong, Yanshan Wang, Fan Zhao
Research on Load Recognition Algorithms Based on Current Distortion and Harmonic Content. SSCI (2019)
Sijia Liu, Yanshan Wang, Hongfang Liu
Selected articles from the BioCreative/OHNLP challenge 2018. BMC Medical Informatics Decis. Mak. (10) (2019)
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 (2019)
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)
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)
Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
Discovering associations between problem list and practice setting. BMC Medical Informatics Decis. Mak. (3) (2019)
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)
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 (2019)
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. (3) (2019)
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 (2018)
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 (2018)
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 (2018)
Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
MedSTS: A Resource for Clinical Semantic Textual Similarity. CoRR (2018)
Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
Predicting Practice Setting Using Topic Modeling. ICHI Workshops (2018)

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Yanshan Wang