Yanshan Wang - RankMe

182 papers C 1Misc 26Journal 109Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated extraction of fluoropyrimidine treatment and treatment-related toxicities from clinical notes using natural language processing. Int. J. Medical Informatics Xizhi Wu, Madeline S. Kreider, Philip E. Empey, Chenyu Li, Yanshan Wang
2026	J	`jnl`	CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support. CoRR Ruiqi Deng, Geoffrey Martin, Tony Wang, Gongbo Zhang, Yi Liu, Chunhua Weng, Yanshan Wang, Justin F. Rousseau, Yifan Peng
2026	J	`jnl`	InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem. CoRR Shuofei Qiao, Yunxiang Wei, Xuehai Wang, Bin Wu, Boyang Xue, Ningyu Zhang, Hossein A. Rahmani, Yanshan Wang, Qiang Zhang, Keyan Ding, Jeff Z. Pan, Huajun Chen, Emine Yilmaz
2026	J	`jnl`	MedRAGChecker: Claim-Level Verification for Biomedical Retrieval-Augmented Generation. CoRR Yuelyu Ji, Min Gu Kwak, Hang Zhang, Xizhi Wu, Chenyu Li, Yanshan Wang
2026	J	`jnl`	SDoH-GPT: using large language models to extract social determinants of health. J. Am. Medical Informatics Assoc. Bernardo Consoli, Haoyang Wang, 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
2026	J	`jnl`	Scaling Medical Reasoning Verification via Tool-Integrated Reinforcement Learning. CoRR Hang Zhang, Ruheng Wang, Yuelyu Ji, Min Gu Kwak, Xizhi Wu, Chenyu Li, Li Zhang, Wenqi Shi, Yifan Peng, Yanshan Wang
2025	J	`jnl`	Automated Extraction of Fluoropyrimidine Treatment and Treatment-Related Toxicities from Clinical Notes Using Natural Language Processing. CoRR Xizhi Wu, Madeline S. Kreider, Philip E. Empey, Chenyu Li, Yanshan Wang
2025	J	`jnl`	Automating Adjudication of Cardiovascular Events Using Large Language Models. CoRR Sonish Sivarajkumar, Kimia Ameri, Chuqin Li, Yanshan Wang, Min Jiang
2025	J	`jnl`	Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems. CoRR Yuelyu Ji, Hang Zhang, Yanshan Wang
2025	J	`jnl`	DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA. CoRR Yuelyu Ji, Hang Zhang, Shiven Verma, Hui Ji, Chun Li, Yushui Han, Yanshan Wang
2025	J	`jnl`	Generative Foundation Model for Structured and Unstructured Electronic Health Records. CoRR Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang
2025	J	`jnl`	HARMON-E: Hierarchical Agentic Reasoning for Multimodal Oncology Notes to Extract Structured Data. CoRR Shashi Kant Gupta, Arijeet Pramanik, Jerrin Thomas, Regina Schwind, Lauren Wiener, Avi Raju, Jeremy Kornbluth, Yanshan Wang, Zhaohui Su, Hrituraj Singh
2025	J	`jnl`	Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review. CoRR 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
2025	J	`jnl`	Machine learning applications related to suicide in military and Veterans: A scoping literature review. J. Biomed. Informatics 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
2025	J	`jnl`	Mitigating the risk of health inequity exacerbated by large language models. npj Digit. Medicine Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang
2025	J	`jnl`	Orchestrator Multi-Agent Clinical Decision Support System for Secondary Headache Diagnosis in Primary Care. CoRR Xizhi Wu, Nelly Estefanie Garduno-Rapp, Justin F. Rousseau, Mounika Thakkallapally, Hang Zhang, Yuelyu Ji, Shyam Visweswaran, Yifan Peng, Yanshan Wang
2025	J	`jnl`	Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories. CoRR Maneesh Bilalpur, Megan Hamm, Young Ji Lee, Natasha Norman, Kathleen M. McTigue, Yanshan Wang
2025	J	`jnl`	Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in Healthcare. CoRR Hang Zhang, Qian Lou, Yanshan Wang
2024	J	`jnl`	A Literature Review and Framework for Human Evaluation of Generative Large Language Models in Healthcare. CoRR 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
2024	J	`jnl`	A framework for human evaluation of large language models in healthcare derived from literature review. npj Digit. Medicine 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
2024	J	`jnl`	A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction. J. Am. Medical Informatics Assoc. 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
2024	J	`jnl`	Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning. CoRR Yuelyu Ji, Zeshui Yu, Yanshan Wang
2024	—	`conf`	Assertion Detection in Clinical Natural Language Processing Using Large Language Models. ICHI Yuelyu Ji, Zeshui Yu, Yanshan Wang
2024	J	`jnl`	Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang
2024	—	`conf`	CryptoTrain: Fast Secure Training on Encrypted Dataset. LAMPS@CCS Jiaqi Xue, Yancheng Zhang, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou
2024	J	`jnl`	CryptoTrain: Fast Secure Training on Encrypted Dataset. CoRR Jiaqi Xue, Yancheng Zhang, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou
2024	J	`jnl`	Distilling large language models for matching patients to clinical trials. J. Am. Medical Informatics Assoc. Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
2024	J	`jnl`	Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications. CoRR David Oniani, Jordan Hilsman, Chengxi Zang, Junmei Wang, Lianjin Cai, Jan Zawala, Yanshan Wang
2024	—	`conf`	Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. ICHI David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
2024	J	`jnl`	Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines. CoRR David Oniani, Xizhi Wu, Shyam Visweswaran, Sumit Kapoor, Shravan Kooragayalu, Katelyn Polanska, Yanshan Wang
2024	J	`jnl`	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. Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, Lirong Wang
2024	J	`jnl`	Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing. J. Am. Medical Informatics Assoc. Sonish Sivarajkumar, Thomas Yu Chow Tam, Haneef Ahamed Mohammad, Samuel Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
2024	J	`jnl`	Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 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
2024	J	`jnl`	Generative AI Is Not Ready for Clinical Use in Patient Education for Lower Back Pain Patients, Even With Retrieval-Augmented Generation. CoRR Yi-Fei Zhao, Allyn Bove, David Thompson, James Hill, Yi Xu, Yufan Ren, Andrea Hassman, Leming Zhou, Yanshan Wang
2024	J	`jnl`	Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models. BMC Medical Informatics Decis. Mak. Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang
2024	J	`jnl`	Large language models for biomedicine: foundations, opportunities, challenges, and best practices. J. Am. Medical Informatics Assoc. Satya S. Sahoo, Joseph M. Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane M. Meystre, Yanshan Wang
2024	J	`jnl`	Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 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
2024	—	`conf`	Message from the Program Chairs; ICHI 2024. ICHI Yanshan Wang, Yifan Peng, Mei Liu, Xinning Gui, Zhengxing Huang, Gregor Stiglic
2024	J	`jnl`	Mitigating the Risk of Health Inequity Exacerbated by Large Language Models. CoRR Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang
2024	J	`jnl`	PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models. CoRR 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
2024	J	`jnl`	PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models. npj Digit. Medicine 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
2024	J	`jnl`	Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning. CoRR Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker E. Denny, Bayan M. Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang
2024	—	`conf`	RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. BioNLP@ACL Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang, Zeshui Yu, Hui Ji, Yushui Han, Hanyu Zeng, Daqing He
2024	J	`jnl`	RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts. CoRR Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang, Zeshui Yu, Hui Ji, Yushui Han, Hanyu Zeng, Daqing He
2024	J	`jnl`	SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR 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
2024	—	`conf`	TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. NAACL-HLT Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
2023	J	`jnl`	Adopting and expanding ethical principles for generative artificial intelligence from military to healthcare. npj Digit. Medicine David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang
2023	J	`jnl`	An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing. CoRR Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang
2023	J	`jnl`	Distilling Large Language Models for Matching Patients to Clinical Trials. CoRR Mauro Nievas, Aditya Basu, Yanshan Wang, Hrituraj Singh
2023	—	`conf`	Evaluation of Healthprompt for Zero-shot Clinical Text Classification. ICHI Sonish Sivarajkumar, Yanshan Wang
2023	J	`jnl`	Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques. CoRR Stephen W. Shaffran, Fengyi Gao, Parker E. Denny, Bayan M. Aldhahwani, Allyn Bove, Shyam Visweswaran, Yanshan Wang
2023	J	`jnl`	Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records. CoRR Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
2023	J	`jnl`	Fair patient model: Mitigating bias in the patient representation learned from the electronic health records. J. Biomed. Informatics Sonish Sivarajkumar, Yufei Huang, Yanshan Wang
2023	—	`conf`	Feasibility of Categorizing Rehabilitation Gestures for Automated Fidelity Assessment on Strategy Training using Deep Learning. ICHI Hunter Osterhoudt, Liann Ching, Minmei Shih, Courtney E. Schneider, Alexandra E. Harper, Haneef Ahamed Mohammad, Elizabeth R. Skidmore, Yanshan Wang, Leming Zhou
2023	J	`jnl`	Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR 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
2023	J	`jnl`	From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence. CoRR David Oniani, Jordan Hilsman, Yifan Peng, Ronald K. Poropatich, Jeremy C. Pamplin, Gary L. Legault, Yanshan Wang
2023	—	`conf`	Identifying Major Depressive Disorder From Clinical Notes Using Neural Language Models with Distant Supervision. ICHI 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
2023	J	`jnl`	In-Context Learning Functions with Varying Number of Minima. CoRR David Oniani, Yanshan Wang
2023	J	`jnl`	Large Language Models Vote: Prompting for Rare Disease Identification. CoRR David Oniani, Jordan Hilsman, Hang Dong, Fengyi Gao, Shiven Verma, Yanshan Wang
2023	—	`conf`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau
2023	J	`jnl`	Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR 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
2023	J	`jnl`	ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research. CoRR 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
2023	J	`jnl`	ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. Int. J. Medical Informatics 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
2023	J	`jnl`	Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy 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
2023	J	`jnl`	TrojFSP: Trojan Insertion in Few-shot Prompt Tuning. CoRR Mengxin Zheng, Jiaqi Xue, Xun Chen, Yanshan Wang, Qian Lou, Lei Jiang
2022	Misc	`conf`	A Novel Zero-shot Learning Framework for Clinical Text Classification. AMIA Sonish Sivarajkumar, Yanshan Wang
2022	Misc	`conf`	A Pilot Study of Automated Approaches to Translate Health Illiterate Language. AMIA Renuk DeAlmeida, Dinuk DeAlmeida, Sreekanth Sreekumar, Yanshan Wang
2022	J	`jnl`	Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing. CoRR Hunter Osterhoudt, Courtney E. Schneider, Haneef Ahamed Mohammad, Minmei Shih, Alexandra E. Harper, Leming Zhou, Elizabeth R. Skidmore, Yanshan Wang
2022	—	`conf`	Bibliometric Analysis of Pediatric Massage Based on CNKI. WI/IAT Yanshan Wang, Xuebo Li
2022	J	`jnl`	Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision. BMC Medical Informatics Decis. Mak. Zitao Shen, Dalton Schutte, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang
2022	J	`jnl`	Computational drug repurposing based on electronic health records: a scoping review. npj Digit. Medicine 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
2022	—	`conf`	EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
2022	J	`jnl`	Extraction of Sleep Information from Clinical Notes of Alzheimer's Disease Patients Using Natural Language Processing. CoRR Haneef Ahamed Mohammad, Sonish Sivarajkumar, Samual Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang
2022	J	`jnl`	Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. CoRR David Oniani, Sonish Sivarajkumar, Yanshan Wang
2022	—	`conf`	Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. ICHI Can Zheng, Yanshan Wang, Xiaowei Jia
2022	J	`jnl`	Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. CoRR Can Zheng, Yanshan Wang, Xiaowei Jia
2022	J	`jnl`	HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing. CoRR Sonish Sivarajkumar, Yanshan Wang
2022	Misc	`conf`	HealthPrompt: A zero-shot learning paradigm for Clinical Natural Language Processing. AMIA Sonish Sivarajkumar, Yanshan Wang
2022	J	`jnl`	Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models. CoRR David Oniani, Sreekanth Sreekumar, Renuk DeAlmeida, Dinuk DeAlmeida, Vivian Hui, Young Ji Lee, Yiye Zhang, Leming Zhou, Yanshan Wang
2021	J	`jnl`	An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 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
2021	Misc	`conf`	COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. AMIA Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu
2021	J	`jnl`	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. Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner
2021	Misc	`conf`	Detecting Major Depressive Disorder from Clinical Notes using Neural Language Models with Distant Supervision. AMIA 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
2021	Misc	`conf`	Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. AMIA Ming Huang, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Yue Yu, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Chyke Doubeni, Jungwei Fan, Hongfang Liu, Christi A. Patten
2021	J	`jnl`	Extracting Lifestyle Factors for Alzheimer's Disease from Clinical Notes Using Deep Learning with Weak Supervision. CoRR Zitao Shen, Yoonkwon Yi, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang
2021	J	`jnl`	Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes. CoRR 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
2021	Misc	`conf`	Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. AMIA Ming Huang, Aditya Khurana, George M. Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Julie E. Prigge, Brian Costello, Nilay D. Shah, Henry Ting, Christi A. Patten, Jungwei Fan, Hongfang Liu
2021	—	`conf`	Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
2021	J	`jnl`	Social determinants of health in the era of artificial intelligence with electronic health records: A systematic review. CoRR Anusha Bompelli, Yanshan Wang, Ruyuan Wan, Esha Singh, Yuqi Zhou, Lin Xu, David Oniani, Bhavani Singh Agnikula Kshatriya, Joyce E. Balls-Berry, Rui Zhang
2020	—	`conf`	A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. BCB David Oniani, Yanshan Wang
2020	J	`jnl`	A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. CoRR David Oniani, Yanshan Wang
2020	—	`conf`	A Query Taxonomy Describes Performance of Patient-Level Retrieval from Electronic Health Record Data. HSDM@WSDM Steve Chamberlin, Steven Bedrick, Aaron M. Cohen, Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu, William R. Hersh
2020	Misc	`conf`	Annotating Chronic Pain Episodes in EHR Text: Guideline Development and Corpus Analysis. AMIA 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
2020	Misc	`conf`	Big Impact from Small Data: Unsupervised Machine Learning Approaches for Chronic Pain Patient Subgrouping. AMIA Luke A. Carlson, Jennifer St. Sauver, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, Molly M. Jeffery, Rozalina G. McCoy, Hongfang Liu, Yanshan Wang
2020	J	`jnl`	Clinical concept extraction: A methodology review. J. Biomed. Informatics 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
2020	Misc	`conf`	Deep Learning Approach to Parse Eligibility Criteria in Dietary Supplements Clinical Trials Following OMOP Common Data Model. AMIA Anusha Bompelli, Jianfu Li, Yiqi Xu, Nan Wang, Yanshan Wang, Terrence J. Adam, Zhe He, Rui Zhang
2020	J	`jnl`	MedSTS: a resource for clinical semantic textual similarity. Lang. Resour. Evaluation Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
2020	—	`conf`	Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer's Disease from Clinical Notes. ICHI Yoonkwon Yi, Zitao Shen, Anusha Bompelli, Fang Yu, Yanshan Wang, Rui Zhang
2020	J	`jnl`	Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. J. Am. Medical Informatics Assoc. 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
2020	J	`jnl`	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. Sam Henry, Yanshan Wang, Feichen Shen, Özlem Uzuner
2020	J	`jnl`	Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu
2019	J	`jnl`	A clinical text classification paradigm using weak supervision and deep representation. BMC Medical Informatics Decis. Mak. Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2019	—	`conf`	Applications of Natural Language Processing in Clinical Research and Practice. NAACL-HLT (Tutorial Abstracts) Yanshan Wang, Ahmad P. Tafti, Sunghwan Sohn, Rui Zhang
2019	J	`jnl`	Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing. Int. J. Medical Informatics Xin Zhou, Yanshan Wang, Sunghwan Sohn, Terry M. Therneau, Hongfang Liu, David S. Knopman
2019	J	`jnl`	CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model. CoRR Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William R. Hersh, Hongfang Liu
2019	Misc	`conf`	Clinical Use of an Information Retrieval Framework for Cohort Discovery from Electronic Health Records. AMIA Yanshan Wang, Andrew Wen, Sijia Liu, Jennifer L. St. Sauver, Adil E. Bharucha, Chunhua Weng, Hongfang Liu
2019	J	`jnl`	Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR 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
2019	J	`jnl`	Discovering associations between problem list and practice setting. BMC Medical Informatics Decis. Mak. Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
2019	J	`jnl`	Editorial: The second international workshop on health natural language processing (HealthNLP 2019). BMC Medical Informatics Decis. Mak. Yanshan Wang, Hua Xu, Özlem Uzuner
2019	—	`conf`	Enhancing Clinical Information Retrieval through Context-Aware Queries and Indices. IEEE BigData Andrew Wen, Yanshan Wang, Vinod C. Kaggal, Sijia Liu, Hongfang Liu, Jungwei Fan
2019	J	`jnl`	HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology. J. Biomed. Informatics Feichen Shen, Suyuan Peng, Yadan Fan, Andrew Wen, Sijia Liu, Yanshan Wang, Liwei Wang, Hongfang Liu
2019	J	`jnl`	How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? CoRR Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu
2019	—	`conf`	Information Extraction for Populating Lung Cancer Clinical Research Data. ICHI Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu
2019	—	`conf`	Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases. BHI Ahmad P. Tafti, Yanshan Wang, Feichen Shen, Elham Sagheb, Paul R. Kingsbury, Hongfang Liu
2019	J	`jnl`	Natural language processing for populating lung cancer clinical research data. BMC Medical Informatics Decis. Mak. Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu
2019	J	`jnl`	Natural language processing of radiology reports for identification of skeletal site-specific fractures. BMC Medical Informatics Decis. Mak. Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2019	J	`jnl`	Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine. Database J. Biol. Databases Curation 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
2019	J	`jnl`	Rare disease knowledge enrichment through a data-driven approach. BMC Medical Informatics Decis. Mak. Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar-Mojarad, Yanshan Wang, Sijia Liu, Hongfang Liu
2019	—	`conf`	Research on Load Recognition Algorithms Based on Current Distortion and Harmonic Content. SSCI Wei Li, Tianxin Dong, Yanshan Wang, Fan Zhao
2019	—	`conf`	Research on Virtual Machine Load Balancing Based on Improved Particle Swarm Optimization. SSCI Wei Li, Tiantian Jian, Yanshan Wang, Xiang Ma
2019	J	`jnl`	Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients. J. Heal. Informatics Res. Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury
2019	J	`jnl`	Selected articles from the BioCreative/OHNLP challenge 2018. BMC Medical Informatics Decis. Mak. Sijia Liu, Yanshan Wang, Hongfang Liu
2019	J	`jnl`	Special issue of BMC medical informatics and decision making on health natural language processing. BMC Medical Informatics Decis. Mak. V. G. Vinod Vydiswaran, Yaoyun Zhang, Yanshan Wang, Hua Xu
2019	Misc	`conf`	Summarization of Patient Education Material for New Media Platform. AMIA Yiqing Zhao, Yanshan Wang, Paul R. Kingsbury, Michael Panzer, Richard Van Ert, Hongfang Liu
2019	Misc	`conf`	Trajectories of Functional Status of Cognitively-impaired Patients in EHRs. AMIA Yanshan Wang, Sunghwan Sohn
2019	J	`jnl`	Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records. CoRR Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Hongfang Liu
2018	—	`conf`	A Comparison of Lifestyle Interventions for Alzheimer's Disease Extracted from Clinical Notes and Literature. ICHI Workshops Xin Zhou, Hongfang Liu, Yanshan Wang
2018	J	`jnl`	A Comparison of Word Embeddings for the Biomedical Natural Language Processing. CoRR Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu
2018	J	`jnl`	A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction. CoRR Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2018	J	`jnl`	A comparison of word embeddings for the biomedical natural language processing. J. Biomed. Informatics Yanshan Wang, Sijia Liu, Naveed Afzal, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Paul R. Kingsbury, Hongfang Liu
2018	—	`conf`	Annotating Cohort Data Elements with OHDSI Common Data Model to Promote Research Reproducibility. BIBM Yiqing Zhao, Yanshan Wang, Henry Wang, Benjamin Yan, Feichen Shen, Kevin J. Peterson, Walter A. Rocca, Jennifer St. Sauver, Hongfang Liu
2018	—	`conf`	Automatic Extraction of Major Osteoporotic Fractures from Radiology Reports using Natural Language Processing. ICHI Workshops Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin, Hongfang Liu
2018	—	`conf`	BioCreative/OHNLP Challenge 2018. BCB Majid Rastegar-Mojarad, Sijia Liu, Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Sunyang Fu, Hongfang Liu
2018	J	`jnl`	Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
2018	J	`jnl`	Clinical information extraction applications: A literature review. J. Biomed. Informatics Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu
2018	—	`conf`	Constructing Node Embeddings for Human Phenotype Ontology to Assist Phenotypic Similarity Measurement. ICHI Workshops Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Andrew Wen, Andrew H. Limper, Hongfang Liu
2018	Misc	`conf`	EMIRS: An Electronic Medical Information Retrieval System by Leveraging both Structured and Unstructured Electronic Health Records. AMIA Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu
2018	J	`jnl`	Extracting chemical-protein relations using attention-based neural networks. Database J. Biol. Databases Curation Sijia Liu, Feichen Shen, Ravikumar Komandur Elayavilli, Yanshan Wang, Majid Rastegar-Mojarad, Vipin Chaudhary, Hongfang Liu
2018	—	`conf`	Identification of Genetic Causality Statements in Medline Abstracts Leveraging Distant Supervision. ICHI Workshops Liwei Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Hongfang Liu
2018	Misc	`conf`	Information Extraction for Data Population in Lung Cancer Clinical Research. AMIA Liwei Wang, Lei Luo, Yanshan Wang, Jason A. Wampfler, Ping Yang, Hongfang Liu
2018	—	`conf`	MayoNLPTeam at the TREC 2018 Precision Medicine Track: Simple Information Retrieval Approach Is the Best. TREC Yanshan Wang, Andrew Wen, Sijia Liu, Hongfang Liu
2018	J	`jnl`	MedSTS: A Resource for Clinical Semantic Textual Similarity. CoRR Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
2018	—	`conf`	Predicting Practice Setting Using Topic Modeling. ICHI Workshops Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu
2017	Misc	`conf`	A Resource for Clinical Semantic Textual Similarity. AMIA Naveed Afzal, Yanshan Wang, Feichen Shen, Liwei Wang, Hongfang Liu
2017	Misc	`conf`	Accelerating Rare Disease Diagnosis with Collaborative Filtering. AMIA Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu
2017	—	`conf`	Aligned-Layer Text Search in Clinical Notes. MedInfo Stephen T. Wu, Andrew Wen, Yanshan Wang, Sijia Liu, Hongfang Liu
2017	—	`conf`	Content Analysis of Free-Text Family History. CRI Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sijia Liu, Feichen Shen, Hongfang Liu
2017	—	`conf`	Dependency and AMR Embeddings for Drug-Drug Interaction Extraction from Biomedical Literature. BCB Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Liwei Wang, Feichen Shen, Fei Liu, Hongfang Liu
2017	J	`jnl`	Generalized ensemble model for document ranking in information retrieval. Comput. Sci. Inf. Syst. Yanshan Wang, In-Chan Choi, Hongfang Liu
2017	J	`jnl`	Intrainstitutional EHR collections for patient-level information retrieval. J. Assoc. Inf. Sci. Technol. Stephen T. Wu, Sijia Liu, Yanshan Wang, Tamara Timmons, Harsha Uppili, Steven Bedrick, William R. Hersh, Hongfang Liu
2017	Misc	`conf`	Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis. AMIA Feichen Shen, Sijia Liu, Yanshan Wang, Liwei Wang, Naveed Afzal, Hongfang Liu
2017	—	`conf`	Leveraging both Structured and Unstructured Data for Precision Information Retrieval. TREC Yanshan Wang, Ravikumar Komandur Elayavilli, Majid Rastegar-Mojarad, Hongfang Liu
2017	J	`jnl`	Leveraging word embeddings and medical entity extraction for biomedical dataset retrieval using unstructured texts. Database J. Biol. Databases Curation Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Hongfang Liu
2017	—	`conf`	Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients. BIBM Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu
2017	—	`conf`	On Mapping Textual Queries to a Common Data Model. ICHI Sijia Liu, Yanshan Wang, Na Hong, Feichen Shen, Stephen T. Wu, William R. Hersh, Hongfang Liu
2017	Misc	`conf`	Recommending education materials for diabetic questions using information retrieval approaches. AMIA Yuqun Zeng, Yanshan Wang, Feichen Shen, Sijia Liu, Liwei Wang, Majid Rastegar-Mojarad, Xusheng Liu, Hongfang Liu
2017	Misc	`conf`	Semantic Representations of Medical Terms: A Comparison Study of Word Embeddings Trained on Clinical Notes and PubMed Articles. AMIA Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Hongfang Liu
2016	Misc	`conf`	A Part-Of-Speech Weighting Scheme for Clinical Information Retrieval. AMIA Yanshan Wang, Stephen T. Wu, Dingcheng Li, Hongfang Liu
2016	J	`jnl`	A Part-Of-Speech term weighting scheme for biomedical information retrieval. J. Biomed. Informatics Yanshan Wang, Stephen T. Wu, Dingcheng Li, Saeed Mehrabi, Hongfang Liu
2016	Misc	`conf`	A Topic-modeling Based Framework for Drug-drug Interaction Classification from Biomedical Text. AMIA Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
2016	—	`conf`	An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support. TREC Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Sijia Liu, Hongfang Liu
2016	—	`conf`	Answering diabetic patients' questions using expert-vetted online resources: A case study. BIBM Yuqun Zeng, Xusheng Liu, Liwei Wang, Hongfang Liu, Yanshan Wang
2016	Misc	`conf`	Answering patients' questions using expert-vetted online resources: A case study of diabetes. AMIA Yuqun Zeng, Liwei Wang, Yanshan Wang, Dingcheng Li, Hongfang Liu
2016	Misc	`conf`	Asthma Ascertainment NLP System Portability across Institutions. AMIA Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu
2016	Misc	`conf`	Drug-drug Interaction Detection with A Topic-modeling Based Framework Augmented with Distant-supervision. AMIA Dingcheng Li, Sijia Liu, Majid Rastegar-Mojarad, Yanshan Wang, Xiaodi Li, Vipin Chaudhary, Terry M. Therneau, Hongfang Liu
2016	—	`conf`	Exploring Gaps of Family History Documentation in EHR for Precision Medicine - A Case Study of Familial Hypercholesterolemia Ascertainment. CRI Saeed Mehrabi, Yanshan Wang, Donna M. Ihrke, Hongfang Liu
2016	J	`jnl`	Indexing by Latent Dirichlet Allocation and an Ensemble Model. J. Assoc. Inf. Sci. Technol. Yanshan Wang, Jae-Sung Lee, In-Chan Choi
2016	J	`jnl`	MatLM: a Matrix Formulation for Probabilistic Language Models. CoRR Yanshan Wang, Hongfang Liu
2016	—	`conf`	MayoBMI at ImageCLEF 2016 Handwritten Document Retrieval Task. CLEF (Working Notes) Sijia Liu, Yanshan Wang, Saeed Mehrabi, Dingcheng Li, Hongfang Liu
2016	—	`conf`	MayoNLP at SemEval-2016 Task 1: Semantic Textual Similarity based on Lexical Semantic Net and Deep Learning Semantic Model. SemEval@NAACL-HLT Naveed Afzal, Yanshan Wang, Hongfang Liu
2016	—	`conf`	MayoNLPTeam at the 2016 CLEF eHealth Information Retrieval Task 1. CLEF (Working Notes) Yanshan Wang, Stephen T. Wu, Hongfang Liu
2016	—	`conf`	POS-MRF: A Part-Of-Speech Weighted Markov Random Field Model for Clinical Information Retrieval. CRI Yanshan Wang, Dingcheng Li, Stephen T. Wu, Hongfang Liu
2016	Misc	`conf`	Probabilistic Population-level Modeling of Disease Event Timelines. AMIA Stephen T. Wu, Yanshan Wang, Sunghwan Sohn, Chung-Il Wi, Elizabeth A. Krusemark, Hongfang Liu, Young J. Juhn
2015	—	`conf`	A frequency-filtering strategy of obtaining PHI-free sentences from clinical data repository. BCB Dingcheng Li, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli, Yanshan Wang, Saeed Mehrabi, Yue Yu, Sunghwan Sohn, Yanpeng Li, Naveed Afzal, Hongfang Liu
2015	J	`jnl`	Generalized Ensemble Model for Document Ranking. CoRR Yanshan Wang, Dingcheng Li, Hongfang Liu, In-Chan Choi
2015	—	`conf`	Retrieval of Semantically Similar Healthcare Questions in Healthcare Forums. ICHI Yanshan Wang, Saeed Mehrabi, Majid Rastegar-Mojarad, Dingcheng Li, Hongfang Liu
2014	J	`jnl`	Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI. Int. J. Bus. Intell. Data Min. Yanshan Wang
2013	J	`jnl`	A novel soft keyboard for touchscreen phones: QWERT. CoRR Yanshan Wang
2013	J	`jnl`	Indexing by Latent Dirichlet Allocation. CoRR Yanshan Wang, In-Chan Choi, Jae-Sung Lee
2013	J	`jnl`	Market Index and Stock Price Direction Prediction using Machine Learning Techniques: An empirical study on the KOSPI and HSI. CoRR Yanshan Wang, In-Chan Choi
2012	C	`conf`	A Text Classification Method based on Latent Topics. ICORES Yanshan Wang, In-Chan Choi