A Text Classification Method based on Latent Topics. - Yanshan Wang; In-Chan Choi (ICORES, 2012)

A novel soft keyboard for touchscreen phones: QWERT. - Yanshan Wang (CoRR, 2013)

Market Index and Stock Price Direction Prediction using Machine Learning Techniques: An empirical study on the KOSPI and HSI. - Yanshan Wang; In-Chan Choi (CoRR, 2013)

Indexing by Latent Dirichlet Allocation. - Yanshan Wang; In-Chan Choi; Jae-Sung Lee (CoRR, 2013)

Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI. - Yanshan Wang (Int. J. Bus. Intell. Data Min., 2014)

A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. - Dingcheng Li; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Yanshan Wang; Saeed Mehrabi 003; Yue Yu; Sunghwan Sohn; Yanpeng Li; Naveed Afzal; Hongfang Liu (BCB, 2015)

Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums. - Yanshan Wang; Saeed Mehrabi 003; Majid Rastegar-Mojarad; Dingcheng Li; Hongfang Liu (ICHI, 2015)

Generalized Ensemble Model for Document Ranking. - Yanshan Wang; Dingcheng Li; Hongfang Liu; In-Chan Choi (CoRR, 2015)

A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. - Dingcheng Li; Sijia Liu 002; Majid Rastegar-Mojarad; Yanshan Wang; Xiaodi Li; Vipin Chaudhary; Terry M. Therneau; Hongfang Liu (AMIA, 2016)

Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. - Dingcheng Li; Sijia Liu 002; Majid Rastegar-Mojarad; Yanshan Wang; Xiaodi Li; Vipin Chaudhary; Terry M. Therneau; Hongfang Liu (AMIA, 2016)

Asthma Ascertainment NLP System Portability across Institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (AMIA, 2016)

A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. - Yanshan Wang; Stephen T. Wu; Dingcheng Li; Hongfang Liu (AMIA, 2016)

Probabilistic Population-level Modeling of Disease Event Timelines. - Stephen T. Wu; Yanshan Wang; Sunghwan Sohn; Chung-Il Wi; Elizabeth A. Krusemark; Hongfang Liu; Young J. Juhn (AMIA, 2016)

Answering patients' questions using expert-vetted online resources: A case study of diabetes. - Yuqun Zeng; Liwei Wang 010; Yanshan Wang; Dingcheng Li; Hongfang Liu (AMIA, 2016)

Answering diabetic patients' questions using expert-vetted online resources: A case study. - Yuqun Zeng; Xusheng Liu; Liwei Wang 010; Hongfang Liu; Yanshan Wang (BIBM, 2016)

MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. - Sijia Liu 002; Yanshan Wang; Saeed Mehrabi 003; Dingcheng Li; Hongfang Liu (CLEF (Working Notes), 2016)

MayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1. - Yanshan Wang; Stephen T. Wu; Hongfang Liu (CLEF (Working Notes), 2016)

Exploring Gaps of Family History Documentation in EHR for Precision Medicine - A Case Study of Familial Hypercholesterolemia Ascertainment. - Saeed Mehrabi 003; Yanshan Wang; Donna M. Ihrke; Hongfang Liu (CRI, 2016)

POS-MRF: A Part-Of-Speech Weighted Markov Random Field Model for Clinical Information Retrieval. - Yanshan Wang; Dingcheng Li; Stephen T. Wu; Hongfang Liu (CRI, 2016)

MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model. - Naveed Afzal; Yanshan Wang; Hongfang Liu (SemEval@NAACL-HLT, 2016)

An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support. - Yanshan Wang; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Sijia Liu 002; Hongfang Liu (TREC, 2016)

MatLM: a Matrix Formulation for Probabilistic Language Models. - Yanshan Wang; Hongfang Liu (CoRR, 2016)

Indexing by Latent Dirichlet Allocation and an Ensemble Model. - Yanshan Wang; Jae-Sung Lee; In-Chan Choi (J. Assoc. Inf. Sci. Technol., 2016)

A Part-Of-Speech term weighting scheme for biomedical information retrieval. - Yanshan Wang; Stephen T. Wu; Dingcheng Li; Saeed Mehrabi 003; Hongfang Liu (J. Biomed. Informatics, 2016)

A Resource for Clinical Semantic Textual Similarity. - Naveed Afzal; Yanshan Wang; Feichen Shen; Liwei Wang 010; Hongfang Liu (AMIA, 2017)

Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis. - Feichen Shen; Sijia Liu 002; Yanshan Wang; Liwei Wang 010; Naveed Afzal; Hongfang Liu (AMIA, 2017)

Accelerating Rare Disease Diagnosis with Collaborative Filtering. - Feichen Shen; Sijia Liu 002; Yanshan Wang; Liwei Wang 010; Naveed Afzal; Hongfang Liu (AMIA, 2017)

Semantic Representations of Medical Terms: A Comparison Study of Word Embeddings Trained on Clinical Notes and PubMed Articles. - Yanshan Wang; Naveed Afzal; Liwei Wang 010; Feichen Shen; Hongfang Liu (AMIA, 2017)

Recommending education materials for diabetic questions using information retrieval approaches. - Yuqun Zeng; Yanshan Wang; Feichen Shen; Sijia Liu 002; Liwei Wang 010; Majid Rastegar-Mojarad; Xusheng Liu; Hongfang Liu (AMIA, 2017)

Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature. - Yanshan Wang; Sijia Liu 002; Majid Rastegar-Mojarad; Liwei Wang 010; Feichen Shen; Fei Liu 004; Hongfang Liu (BCB, 2017)

Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. - Sungrim Moon; Sijia Liu 002; Paul R. Kingsbury; David Chen 003; Yanshan Wang; Feichen Shen; Rajeev Chaudhry; Hongfang Liu (BIBM, 2017)

Content Analysis of Free-Text Family History. - Yanshan Wang; Liwei Wang 010; Majid Rastegar-Mojarad; Sijia Liu 002; Feichen Shen; Hongfang Liu (CRI, 2017)

On Mapping Textual Queries to a Common Data Model. - Sijia Liu 002; Yanshan Wang; Na Hong; Feichen Shen; Stephen T. Wu; William R. Hersh; Hongfang Liu (ICHI, 2017)

Aligned-Layer Text Search in Clinical Notes. - Stephen T. Wu; Andrew Wen; Yanshan Wang; Sijia Liu 002; Hongfang Liu (MedInfo, 2017)

Leveraging both Structured and Unstructured Data for Precision Information Retrieval. - Yanshan Wang; Ravikumar Komandur Elayavilli; Majid Rastegar-Mojarad; Hongfang Liu (TREC, 2017)

Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts. - Yanshan Wang; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Hongfang Liu (Database J. Biol. Databases Curation, 2017)

Generalized ensemble model for document ranking in information retrieval. - Yanshan Wang; In-Chan Choi; Hongfang Liu (Comput. Sci. Inf. Syst., 2017)

Intrainstitutional EHR collections for patient-level information retrieval. - Stephen T. Wu; Sijia Liu 002; Yanshan Wang; Tamara Timmons; Harsha Uppili; Steven Bedrick; William R. Hersh; Hongfang Liu (J. Assoc. Inf. Sci. Technol., 2017)

Information Extraction for Data Population in Lung Cancer Clinical Research. - Liwei Wang 010; Lei Luo; Yanshan Wang; Jason A. Wampfler; Ping Yang; Hongfang Liu (AMIA, 2018)

EMIRS: An Electronic Medical Information Retrieval System by Leveraging both Structured and Unstructured Electronic Health Records. - Yanshan Wang; Andrew Wen; Sijia Liu 002; Hongfang Liu (AMIA, 2018)

BioCreative/OHNLP Challenge 2018. - Majid Rastegar-Mojarad; Sijia Liu 002; Yanshan Wang; Naveed Afzal; Liwei Wang 010; Feichen Shen; Sunyang Fu; Hongfang Liu (BCB, 2018)

Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility. - Yiqing Zhao; Yanshan Wang; Henry Wang; Benjamin Yan; Feichen Shen; Kevin J. Peterson; Walter A. Rocca; Jennifer St. Sauver; Hongfang Liu (BIBM, 2018)

Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement. - Feichen Shen; Sijia Liu 002; Yanshan Wang; Liwei Wang 010; Andrew Wen; Andrew H. Limper; Hongfang Liu (ICHI Workshops, 2018)

Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. - Yanshan Wang; Saeed Mehrabi 003; Sunghwan Sohn; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (ICHI Workshops, 2018)

Identification of Genetic Causality Statements in Medline Abstracts Leveraging Distant Supervision. - Liwei Wang 010; Majid Rastegar-Mojarad; Ravikumar Komandur Elayavilli; Yanshan Wang; Hongfang Liu (ICHI Workshops, 2018)

Predicting Practice Setting Using Topic Modeling. - Liwei Wang 010; Yanshan Wang; Feichen Shen; Majid Rastegar-Mojarad; Hongfang Liu (ICHI Workshops, 2018)

A Comparison of Lifestyle Interventions for Alzheimer's Disease Extracted from Clinical Notes and Literature. - Xin Zhou; Hongfang Liu; Yanshan Wang (ICHI Workshops, 2018)

MayoNLPTeam at the TREC 2018 Precision Medicine Track: Simple Information Retrieval Approach Is the Best. - Yanshan Wang; Andrew Wen; Sijia Liu 002; Hongfang Liu (TREC, 2018)

Extracting chemical-protein relations using attention-based neural networks. - Sijia Liu 002; Feichen Shen; Ravikumar Komandur Elayavilli; Yanshan Wang; Majid Rastegar-Mojarad; Vipin Chaudhary; Hongfang Liu (Database J. Biol. Databases Curation, 2018)

A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. - Yanshan Wang; Sunghwan Sohn; Sijia Liu 002; Feichen Shen; Liwei Wang 010; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (CoRR, 2018)

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (J. Am. Medical Informatics Assoc., 2018)

A comparison of word embeddings for the biomedical natural language processing. - Yanshan Wang; Sijia Liu 002; Naveed Afzal; Majid Rastegar-Mojarad; Liwei Wang 010; Feichen Shen; Paul R. Kingsbury; Hongfang Liu (J. Biomed. Informatics, 2018)

Clinical information extraction applications: A literature review. - Yanshan Wang; Liwei Wang 010; Majid Rastegar-Mojarad; Sungrim Moon; Feichen Shen; Naveed Afzal; Sijia Liu 002; Yuqun Zeng; Saeed Mehrabi 003; Sunghwan Sohn; Hongfang Liu (J. Biomed. Informatics, 2018)

Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. - Yanshan Wang; Sunghwan Sohn (AMIA, 2019)

Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records. - Yanshan Wang; Andrew Wen; Sijia Liu 002; Jennifer L. St. Sauver; Adil E. Bharucha; Chunhua Weng; Hongfang Liu (AMIA, 2019)

Summarization of Patient Education Material for New Media Platform. - Yiqing Zhao; Yanshan Wang; Paul R. Kingsbury; Michael Panzer; Richard Van Ert; Hongfang Liu (AMIA, 2019)

Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. - Ahmad P. Tafti; Yanshan Wang; Feichen Shen; Elham Sagheb; Paul R. Kingsbury; Hongfang Liu (BHI, 2019)

Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices. - Andrew Wen; Yanshan Wang; Vinod C. Kaggal; Sijia Liu 002; Hongfang Liu; Jungwei Fan 001 (IEEE BigData, 2019)

Information Extraction for Populating Lung Cancer Clinical Research Data. - Liwei Wang 010; Lei Luo; Yanshan Wang; Jason A. Wampfler; Ping Yang; Hongfang Liu (ICHI, 2019)

Applications of Natural Language Processing in Clinical Research and Practice. - Yanshan Wang; Ahmad P. Tafti; Sunghwan Sohn; Rui Zhang (NAACL-HLT (Tutorial Abstracts), 2019)

Research on Load Recognition Algorithms Based on Current Distortion and Harmonic Content. - Wei Li; Tianxin Dong; Yanshan Wang; Fan Zhao (SSCI, 2019)

Research on Virtual Machine Load Balancing Based on Improved Particle Swarm Optimization. - Wei Li; Tiantian Jian; Yanshan Wang; Xiang Ma (SSCI, 2019)

Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. - Rezarta Islamaj Dogan; Sun Kim; Andrew Chatr-aryamontri; Chih-Hsuan Wei; Donald C. Comeau; Rui Antunes 002; Sérgio Matos; Qingyu Chen 001; Aparna Elangovan; Nagesh C. Panyam; Karin Verspoor; Hongfang Liu; et al. (Database J. Biol. Databases Curation, 2019)

CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model. - Sijia Liu 002; Yanshan Wang; Andrew Wen; Liwei Wang 010; Na Hong; Feichen Shen; Steven Bedrick; William R. Hersh; Hongfang Liu (CoRR, 2019)

Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. - Yanshan Wang; Yiqing Zhao; Terry M. Therneau; Elizabeth J. Atkinson; Ahmad P. Tafti; Nan Zhang; Shreyasee Amin; Andrew H. Limper; Hongfang Liu (CoRR, 2019)

How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? - Yanshan Wang; Krishna B. Soundararajan; Sunyang Fu; Luke A. Carlson; Rebecca A. Smith; David S. Knopman; Hongfang Liu (CoRR, 2019)

Development of Clinical Concept Extraction Applications: A Methodology Review. - Sunyang Fu; David Chen 003; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Yanshan Wang; Liwei Wang 010; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; Hongfang Liu (CoRR, 2019)

Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. - Xin Zhou; Yanshan Wang; Sunghwan Sohn; Terry M. Therneau; Hongfang Liu; David S. Knopman (Int. J. Medical Informatics, 2019)

HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology. - Feichen Shen; Suyuan Peng; Yadan Fan; Andrew Wen; Sijia Liu 002; Yanshan Wang; Liwei Wang 010; Hongfang Liu (J. Biomed. Informatics, 2019)

Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. - Sungrim Moon; Sijia Liu 002; David Chen 003; Yanshan Wang; Douglas L. Wood; Rajeev Chaudhry; Hongfang Liu; Paul R. Kingsbury (J. Heal. Informatics Res., 2019)

Rare disease knowledge enrichment through a data-driven approach. - Feichen Shen; Yiqing Zhao; Liwei Wang 010; Majid Rastegar-Mojarad; Yanshan Wang; Sijia Liu 002; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Special issue of BMC medical informatics and decision making on health natural language processing. - V. G. Vinod Vydiswaran; Yaoyun Zhang; Yanshan Wang; Hua Xu 001 (BMC Medical Informatics Decis. Mak., 2019)

Natural language processing for populating lung cancer clinical research data. - Liwei Wang 010; Lei Luo; Yanshan Wang; Jason A. Wampfler; Ping Yang; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Natural language processing of radiology reports for identification of skeletal site-specific fractures. - Yanshan Wang; Saeed Mehrabi 003; Sunghwan Sohn; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

A clinical text classification paradigm using weak supervision and deep representation. - Yanshan Wang; Sunghwan Sohn; Sijia Liu 002; Feichen Shen; Liwei Wang 010; Elizabeth J. Atkinson; Shreyasee Amin; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Discovering associations between problem list and practice setting. - Liwei Wang 010; Yanshan Wang; Feichen Shen; Majid Rastegar-Mojarad; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Editorial: The second international workshop on health natural language processing (HealthNLP 2019). - Yanshan Wang; Hua Xu 001; Özlem Uzuner (BMC Medical Informatics Decis. Mak., 2019)

Selected articles from the BioCreative/OHNLP challenge 2018. - Sijia Liu; Yanshan Wang; Hongfang Liu (BMC Medical Informatics Decis. Mak., 2019)

Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. - Anusha Bompelli; Jianfu Li; Yiqi Xu; Nan Wang; Yanshan Wang; Terrence J. Adam; Zhe He 001; Rui Zhang 028 (AMIA, 2020)

Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis. - 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 001 (AMIA, 2020)

Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping. - Luke A. Carlson; Jennifer St. Sauver; Sunyang Fu; Ahmad P. Tafti; Jungwei Fan 001; Molly M. Jeffery; Rozalina G. McCoy; Hongfang Liu; Yanshan Wang (AMIA, 2020)

A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. - David Oniani; Yanshan Wang (BCB, 2020)

Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer's Disease from Clinical Notes. - Yoonkwon Yi; Zitao Shen; Anusha Bompelli; Fang Yu 005; Yanshan Wang; Rui Zhang 028 (ICHI, 2020)

A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data. - Steve Chamberlin; Steven Bedrick; Aaron M. Cohen; Yanshan Wang; Andrew Wen; Sijia Liu 002; Hongfang Liu; William R. Hersh (HSDM@WSDM, 2020)

The 2019 National Natural language processing (NLP) Clinical Challenges (n2c2)/Open Health NLP (OHNLP) shared task on clinical concept normalization for clinical records. - Sam Henry 001; Yanshan Wang; Feichen Shen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2020)

Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. - 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 006; Feichen Shen; et al. (J. Am. Medical Informatics Assoc., 2020)

Clinical concept extraction: A methodology review. - Sunyang Fu; David Chen 003; Huan He; Sijia Liu 002; Sungrim Moon; Kevin J. Peterson; Feichen Shen; Liwei Wang 010; Yanshan Wang; Andrew Wen; Yiqing Zhao; Sunghwan Sohn; et al. (J. Biomed. Informatics, 2020)

Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. - Yanshan Wang; Yiqing Zhao; Terry M. Therneau; Elizabeth J. Atkinson; Ahmad P. Tafti; Nan Zhang; Shreyasee Amin; Andrew H. Limper; Sundeep Khosla; Hongfang Liu (J. Biomed. Informatics, 2020)

MedSTS: a resource for clinical semantic textual similarity. - Yanshan Wang; Naveed Afzal; Sunyang Fu; Liwei Wang 010; Feichen Shen; Majid Rastegar-Mojarad; Hongfang Liu (Lang. Resour. Evaluation, 2020)

Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. - Ming Huang 006; Aditya Khurana; George M. Mastorakos; Andrew Wen; Huan He; Liwei Wang 010; Sijia Liu 002; Yanshan Wang; Julie E. Prigge; Brian Costello; Nilay D. Shah; Henry Ting; et al. (AMIA, 2021)

COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. - Huan He; Liwei Wang 010; Andrew Wen; Ming Huang 006; Yanshan Wang; Hongfang Liu (AMIA, 2021)

Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. - Ming Huang 006; Andrew Wen; Huan He; Liwei Wang 010; Sijia Liu 002; Yanshan Wang; Nansu Zong; Yue Yu; Julie E. Prigge; Brian Costello; Nilay D. Shah; Henry Ting; et al. (AMIA, 2021)

Detecting Major Depressive Disorder from Clinical Notes using Neural Language Models with Distant Supervision. - 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 (AMIA, 2021)

Prediction of Incident Dementia Using Patient Temporal Health Status. - Sunyang Fu; Omar A. Ibrahim; Yanshan Wang; Maria Vassilaki; Ronald C. Petersen; Michelle M. Mielke; Jennifer St Sauver; Sunghwan Sohn (MedInfo, 2021)

Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision. - Zitao Shen; Yoonkwon Yi; Anusha Bompelli; Fang Yu 005; Yanshan Wang; Rui Zhang 028 (CoRR, 2021)

Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. - Anusha Bompelli; Yanshan Wang; Ruyuan Wan; Esha Singh; Yuqi Zhou; Lin Xu; David Oniani; Bhavani Singh Agnikula Kshatriya; Joyce E. Balls-Berry; Rui Zhang 028 (CoRR, 2021)

Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes. - 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 (CoRR, 2021)

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. - Sam Henry 001; Yanshan Wang; Feichen Shen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2021)

An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. - Andrew Wen; Liwei Wang 010; Huan He; Sijia Liu 002; Sunyang Fu; Sunghwan Sohn; Jacob A. Kugel; Vinod C. Kaggal; Ming Huang 006; Yanshan Wang; Feichen Shen; Jungwei Fan 001; et al. (J. Biomed. Informatics, 2021)

A Pilot Study of Automated Approaches to Translate Health Illiterate Language. - Renuk DeAlmeida; Dinuk DeAlmeida; Sreekanth Sreekumar; Yanshan Wang (AMIA, 2022)

HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. - Sonish Sivarajkumar; Yanshan Wang (AMIA, 2022)

A Novel Zero-shot Learning Framework for Clinical Text Classification. - Sonish Sivarajkumar; Yanshan Wang (AMIA, 2022)

EchoGen: Generating Conclusions from Echocardiogram Notes. - Liyan Tang; Shravan Kooragayalu; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau; Yifan Peng 002 (BioNLP@ACL, 2022)

Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. - Can Zheng; Yanshan Wang; Xiaowei Jia (ICHI, 2022)

Bibliometric Analysis of Pediatric Massage Based on CNKI. - Yanshan Wang; Xuebo Li (WI/IAT, 2022)

Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. - Haneef Ahamed Mohammad; Sonish Sivarajkumar; Samual Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (CoRR, 2022)

Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. - David Oniani; Sonish Sivarajkumar; Yanshan Wang (CoRR, 2022)

Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. - David Oniani; Sreekanth Sreekumar; Renuk DeAlmeida; Dinuk DeAlmeida; Vivian Hui; Young Ji Lee; Yiye Zhang; Leming Zhou; Yanshan Wang (CoRR, 2022)

Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing. - Hunter Osterhoudt; Courtney E. Schneider; Haneef Ahamed Mohammad; Minmei Shih; Alexandra E. Harper; Leming Zhou; Elizabeth R. Skidmore; Yanshan Wang (CoRR, 2022)

Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision. - Zitao Shen; Dalton Schutte; Yoonkwon Yi; Anusha Bompelli; Fang Yu 005; Yanshan Wang; Rui Zhang 028 (BMC Medical Informatics Decis. Mak., 2022)

Computational drug repurposing based on electronic health records: a scoping review. - Nansu Zong; Andrew Wen; Sungrim Moon; Sunyang Fu; Liwei Wang 010; Yiqing Zhao; Yue Yu; Ming Huang 006; Yanshan Wang; Gang Zheng; Michelle M. Mielke; James R. Cerhan; et al. (npj Digit. Medicine, 2022)

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. - Liyan Tang; Yifan Peng 002; Yanshan Wang; Ying Ding 001; Greg Durrett; Justin F. Rousseau (ACL (Findings), 2023)

Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. - 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 006; Yanshan Wang (ICHI, 2023)

Feasibility of Categorizing Rehabilitation Gestures for Automated Fidelity Assessment on Strategy Training using Deep Learning. - Hunter Osterhoudt; Liann Ching; Minmei Shih; Courtney E. Schneider; Alexandra E. Harper; Haneef Ahamed Mohammad; Elizabeth R. Skidmore; Yanshan Wang; Leming Zhou (ICHI, 2023)

Evaluation of Healthprompt for Zero-shot Clinical Text Classification. - Sonish Sivarajkumar; Yanshan Wang (ICHI, 2023)

Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. - Stephen W. Shaffran; Fengyi Gao; Parker E. Denny; Bayan M. Aldhahwani; Allyn Bove; Shyam Visweswaran; Yanshan Wang (CoRR, 2023)

From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. - David Oniani; Jordan Hilsman; Yifan Peng; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (CoRR, 2023)

Large Language Models Vote: Prompting for Rare Disease Identification. - David Oniani; Jordan Hilsman; Hang Dong 007; Fengyi Gao; Shiven Verma; Yanshan Wang (CoRR, 2023)

An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. - Sonish Sivarajkumar; Mark Kelley; Alyssa Samolyk-Mazzanti; Shyam Visweswaran; Yanshan Wang (CoRR, 2023)

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. - 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 001; Ramesh C. Jain; et al. (CoRR, 2023)

Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (CoRR, 2023)

In-Context Learning Functions with Varying Number of Minima. - David Oniani; Yanshan Wang (CoRR, 2023)

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. - Mengxin Zheng; Jiaqi Xue; Xun Chen; Yanshan Wang; Qian Lou; Lei Jiang 001 (CoRR, 2023)

Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. - David Oniani; Jordan Hilsman; Yifan Peng 002; Ronald K. Poropatich; Jeremy C. Pamplin; Gary L. Legault; Yanshan Wang (npj Digit. Medicine, 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. - 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; et al. (Int. J. Medical Informatics, 2023)

Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. - Sonish Sivarajkumar; Yufei Huang 001; Yanshan Wang (J. Biomed. Informatics, 2023)

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. - Yuelyu Ji; Zhuochun Li; Rui Meng; Sonish Sivarajkumar; Yanshan Wang; Zeshui Yu; Hui Ji; Yushui Han; Hanyu Zeng; Daqing He (BioNLP@ACL, 2024)

Assertion Detection in Clinical Natural Language Processing Using Large Language Models. - Yuelyu Ji; Zeshui Yu; Yanshan Wang (ICHI, 2024)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. - David Oniani; Xizhi Wu; Shyam Visweswaran; Sumit Kapoor; Shravan Kooragayalu; Katelyn Polanska; Yanshan Wang (ICHI, 2024)

Message from the Program Chairs; ICHI 2024. - Yanshan Wang; Yifan Peng; Mei Liu; Xinning Gui; Zhengxing Huang; Gregor Stiglic (ICHI, 2024)

CryptoTrain: Fast Secure Training on Encrypted Dataset. - Jiaqi Xue; Yancheng Zhang; Yanshan Wang; Xueqiang Wang; Hao Zheng 005; Qian Lou (LAMPS@CCS, 2024)

TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. - Mengxin Zheng; Jiaqi Xue; Xun Chen; Yanshan Wang; Qian Lou; Lei Jiang (NAACL-HLT, 2024)

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning. - Yuelyu Ji; Zeshui Yu; Yanshan Wang (CoRR, 2024)

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. - David Oniani; Jordan Hilsman; Chengxi Zang; Junmei Wang; Lianjin Cai; Jan Zawala; Yanshan Wang (CoRR, 2024)

PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models. - 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; et al. (CoRR, 2024)

A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. - 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; et al. (CoRR, 2024)

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. - Fengyi Gao; Xingyu Zhang; Sonish Sivarajkumar; Parker E. Denny; Bayan M. Aldhahwani; Shyam Visweswaran; Ryan Shi; William Hogan; Allyn Bove; Yanshan Wang (CoRR, 2024)

SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). - Bernardo Consoli; Xizhi Wu; Song Wang 026; Xinyu Zhao; Yanshan Wang; Justin F. Rousseau; Tom Hartvigsen; Li Shen 001; Huanmei Wu; Yifan Peng 002; Qi Long; Tianlong Chen 001; et al. (CoRR, 2024)

Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation. - Yi-Fei Zhao; Allyn Bove; David Thompson; James Hill; Yi Xu; Yufan Ren; Andrea Hassman; Leming Zhou; Yanshan Wang (CoRR, 2024)

CryptoTrain: Fast Secure Training on Encrypted Dataset. - Jiaqi Xue; Yancheng Zhang; Yanshan Wang; Xueqiang Wang; Hao Zheng; Qian Lou (CoRR, 2024)

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. - Sunyang Fu; Liwei Wang 010; Huan He; Andrew Wen; Nansu Zong; Anamika Kumari; Feifan Liu; Sicheng Zhou; Rui Zhang 028; Chenyu Li; Yanshan Wang; Jennifer St Sauver; et al. (J. Am. Medical Informatics Assoc., 2024)

Distilling large language models for matching patients to clinical trials. - Mauro Nievas; Aditya Basu; Yanshan Wang; Hrituraj Singh (J. Am. Medical Informatics Assoc., 2024)

Large language models for biomedicine: foundations, opportunities, challenges, and best practices. - Satya S. Sahoo; Joseph M. Plasek; Hua Xu 001; Özlem Uzuner; Trevor Cohen; Meliha Yetisgen; Hongfang Liu; Stéphane M. Meystre; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. - Sonish Sivarajkumar; Thomas Yu Chow Tam; Haneef Ahamed Mohammad; Samuel Viggiano; David Oniani; Shyam Visweswaran; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (J. Biomed. Informatics, 2024)

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - 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 001; et al. (npj Digit. Medicine, 2024)

PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models. - 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; et al. (npj Digit. Medicine, 2024)

A framework for human evaluation of large language models in healthcare derived from literature review. - 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; et al. (npj Digit. Medicine, 2024)

Clinical Information Retrieval: A Literature Review. - Sonish Sivarajkumar; Haneef Ahamed Mohammad; David Oniani; Kirk Roberts; William R. Hersh; Hongfang Liu; Daqing He; Shyam Visweswaran; Yanshan Wang (J. Heal. Informatics Res., 2024)

Enhancing post-traumatic stress disorder patient assessment: leveraging natural language processing for research of domain criteria identification using electronic medical records. - Oshin Miranda; Sophie Marie Kiehl; Xiguang Qi; M. Daniel Brannock; Thomas Kosten; Neal David Ryan; Levent Kirisci; Yanshan Wang; LiRong Wang (BMC Medical Informatics Decis. Mak., 2024)

Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models. - Xingyu Zhang; Yanshan Wang; Yun Jiang; Charissa B. Pacella; Wenbin Zhang 002 (BMC Medical Informatics Decis. Mak., 2024)

Machine learning applications related to suicide in military and Veterans: A scoping literature review. - Yuhan Zhang; Yishu Wei; Yanshan Wang; Yunyu Xiao; Ronald K. Poropatich; Gretchen L. Haas; Yiye Zhang; Chunhua Weng; Jinze Liu; Lisa A. Brenner; James M. Bjork; Yifan Peng 002 (J. Biomed. Informatics, 2025)

Mitigating the risk of health inequity exacerbated by large language models. - Yuelyu Ji; Wenhe Ma; Sonish Sivarajkumar; Hang Zhang; Eugene Mathew Sadhu; Zhuochun Li; Xizhi Wu; Shyam Visweswaran; Yanshan Wang (npj Digit. Medicine, 2025)

Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare. - Hang Zhang; Qian Lou; Yanshan Wang (CoRR, 2025)

Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems. - Yuelyu Ji; Hang Zhang; Yanshan Wang (CoRR, 2025)

Automating Adjudication of Cardiovascular Events Using Large Language Models. - Sonish Sivarajkumar; Kimia Ameri; Chuqin Li; Yanshan Wang; Min Jiang (CoRR, 2025)

DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA. - Yuelyu Ji; Hang Zhang; Shiven Verma; Hui Ji; Chun Li; Yushui Han; Yanshan Wang (CoRR, 2025)