Sunyang Fu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Cognitive Impairment

Natural Language

Sentiment Analysis

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong
Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. J. Am. Medical Informatics Assoc. 31 (8) (2024)
Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina Kuttichi Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. J. Biomed. Informatics 152 (2024)
Yang Ren, Yuqi Wu, Jungwei W. Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang
Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. J. Am. Medical Informatics Assoc. 31 (8) (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)
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)
Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Muhammad F. Amith, J. Wilfred Fan, Jingcheng Du, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao
Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO). J. Am. Medical Informatics Assoc. 30 (9) (2023)
Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang
Detecting Reddit Users with Depression Using a Hybrid Neural Network. CoRR (2023)
Omar A. Ibrahim, Muskan Garg, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St Sauver, Sunghwan Sohn
Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. MedInfo (2023)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Dalton Schutte, Rui Zhang, Masoud Rouhizadeh, John D. Osborne, Yongqun He, Umit Topaloglu, Stephanie S. Hong, Joel H. Saltz, Thomas Schaffter, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 30 (12) (2023)
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR (2023)
Andrew Wen, Huan He, Sunyang Fu, Sijia Liu, Kurt Miller, Liwei Wang, Kirk E. Roberts, Steven Bedrick, William R. Hersh, Hongfang Liu
The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era. npj Digit. Medicine 6 (2023)
Ziming Liu, Muskan Garg, Sunyang Fu, Surjodeep Sarkar, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn
Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. BIBM (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)
Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang
Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. ICHI (2023)
Yang Ren, Dezhi Wu, Aditya Khurana, George M. Mastorakos, Sunyang Fu, Nansu Zong, Jungwei Fan, Hongfang Liu, Ming Huang
Classification of Patient Portal Messages with BERT-based Language Models. ICHI (2023)
Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Michelle M. Mielke, Jennifer St Sauver, Ronald C. Petersen, Sunghwan Sohn
Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. ICHI (2022)
Ray Oian, Sunyang Fu, Hongfang Liu
Evaluation of Document-Level Identification of Pulmonary Nodules in Radiology Reports Using FLAIR Natural Language Processing Framework. ICHI (2022)
Kurt Miller, Ming Huang, Sunyang Fu, Kris Abah, Andrea Maraboto Escarria, Kevin J. Peterson, Hongfang Liu, Lacey Hart, Nelly Tan
Probing Radiology Patient Experience Feedbacks with Aspect-based Sentiment Analysis. AMIA (2022)
Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Hongfang Liu
MedTator: A Serverless Web-based Tool for Corpus Annotation. ICHI (2022)
Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz Bin Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L. Warner, Hongfang Liu
Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing. ICHI (2022)
Yifang Dang, Fang Li, Xinyue Hu, Vipina Kuttichi Keloth, Meng Zhang, Sunyang Fu, Jingcheng Du, J. Wilfred Fan, Muhammad F. Amith, Evan Yu, Hongfang Liu, Xiaoqian Jiang, Hua Xu, Cui Tao
Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO). CoRR (2022)
Sunyang Fu, Bjoerg Thorsteinsdottir, Xin Zhang, Guilherme S. Lopes, Sandeep R. Pagali, Nathan K. LeBrasseur, Andrew Wen, Hongfang Liu, Walter A. Rocca, Janet E. Olson, Jennifer St. Sauver, Sunghwan Sohn
A hybrid model to identify fall occurrence from electronic health records. Int. J. Medical Informatics 162 (2022)
Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Sungrim Moon, Kurt Miller, Hongfang Liu
Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator. AMIA (2022)
Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Jennifer St. Sauver, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
Quality Assessment of Functional Status Documentation in EHR Across Institutions. 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)
Huan He, Sunyang Fu, Liwei Wang, Sijia Liu, Andrew Wen, Hongfang Liu
MedTator: a serverless annotation tool for corpus development. Bioinform. 38 (6) (2022)
Kurt Miller, Sunyang Fu, Kris Abah, Andrea Maraboto Escarria, Kevin J. Peterson, Hongfang Liu, Lacey Hart, Nelly Tan, Ming Huang
Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study. ICHI (2022)
Nansu Zong, Ning Li, Andrew Wen, Victoria Ngo, Yue Yu, Ming Huang, Shaika Chowdhury, Chao Jiang, Sunyang Fu, Richard Weinshilboum, Guoqian Jiang, Lawrence Hunter, Hongfang Liu
BETA: a comprehensive benchmark for computational drug-target prediction. Briefings Bioinform. 23 (4) (2022)
Xiaoyang Ruan, Sunyang Fu, Curtis B. Storlie, Kellie L. Mathis, David W. Larson, Hongfang Liu
Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model. J. Biomed. Informatics 135 (2022)
Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Sandeep R. Pagali, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn
Quality assessment of functional status documentation in EHRs across different healthcare institutions. Frontiers Digit. Health 4 (2022)
Sicheng Zhou, Liwei Wang, Nan Wang, Sunyang Fu, Chetan Shenoy, Anne H. Blaes, Hongfang Liu, Rui Zhang
Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records. AMIA (2021)
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)
Omar A. Ibrahim, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn
Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. BIBM (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)
Sunyang Fu, Andrew Wen, Sandeep R. Pagali, Nansu Zong, Jennifer St Sauver, Sunghwan Sohn, Jungwei Fan, Hongfang Liu
The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. MedInfo (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)
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert T. Miller, Andrew E. Williams, Daniel R. Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-El-Rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily R. Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu
An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). CoRR (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)
Sijia Liu, Sunyang Fu, Sungrim Moon, Andrew Wen, Hongfang Liu
Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study. AMIA (2020)
Yiqing Zhao, Hanzhong Yu, Luke A. Carlson, Feichen Shen, Sunyang Fu, Hongfang Liu, Chen Wang
Extracting Patient Genetic Information from Unstructured Clinical Notes. AMIA (2020)
Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael Taunton, Hilal Maradit Kremers, Ahmad P. Tafti
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) (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)
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)
Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent, Hongfang Liu
Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Andrew Wen, Sunyang Fu, Feichen Shen, Hongfang Liu
Accelerating Development of Learning Healthcare Systems via Distantly Supervised Knowledge Discovery. AMIA (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)
Ahmad P. Tafti, Sunyang Fu, Aditya Khurana, George M. Mastorakos, Kenneth G. Poole, Stephen J. Traub, James A. Yiannias, Hongfang Liu
Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. BIBM (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)
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)
Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. npj Digit. Medicine 2 (2019)
Sunyang Fu, Lester Y. Leung, Anne-Olivia Raulli, David F. Kallmes, Kristin A. Kinsman, Kristoff B. Nelson, Michael S. Clark, Patrick H. Luetmer, Paul R. Kingsbury, David M. Kent, Hongfang Liu
Natural Language Processing for the Identification of Silent Brain Infractions from Neuroimaging Reports. AMIA (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)
Majid Rastegar-Mojarad, Sijia Liu, Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Sunyang Fu, Hongfang Liu
BioCreative/OHNLP Challenge 2018. BCB (2018)
Andy Jinseok Lee, Sunyang Fu, V. G. Vinod Vydiswaran
Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. AMIA (2018)
Michael T. Lash, Sunyang Fu, Shiyao Wang, Kang Zhao
Early Prediction of Movie Success - What, Who, and When. SBP (2015)