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2020 – today
- 2024
[j20]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): 1493-1502 (2024)- [j19]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): 1671-1681 (2024) - [j18]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): 1714-1724 (2024) - [j17]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: 104623 (2024) - [j16]Muskan Garg, Sara Hejazi, Sunyang Fu, Maria Vassilaki, Ronald C. Petersen, Jennifer St. Sauver, Sunghwan Sohn:
Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits. BMC Medical Informatics Decis. Mak. 24(1): 305 (2024) - [j15]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 framework for human evaluation of large language models in healthcare derived from literature review. npj Digit. Medicine 7(1) (2024) - [c30]Liwei Wang, Qiuhao Lu, Rui Li, Sunyang Fu, Hongfang Liu:
Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives. ClinicalNLP@NAACL 2024: 483-487 - [i9]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 abs/2405.02559 (2024) - 2023
- [j14]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): 1465-1473 (2023) - [j13]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): 2036-2040 (2023) - [j12]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) - [c29]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: 2097-2100 - [c28]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: 176-182 - [c27]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: 183-192 - [c26]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: 193-199 - [c25]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: 850-854 - [i8]Ziyi Chen, Ren Yang, Sunyang Fu, Nansu Zong, Hongfang Liu, Ming Huang:
Detecting Reddit Users with Depression Using a Hybrid Neural Network. CoRR abs/2302.02759 (2023) - [i7]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 abs/2305.17100 (2023) - 2022
- [j11]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) - [j10]Huan He, Sunyang Fu, Liwei Wang, Sijia Liu, Andrew Wen, Hongfang Liu:
MedTator: a serverless annotation tool for corpus development. Bioinform. 38(6): 1776-1778 (2022) - [j9]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) - [j8]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: 104736 (2022) - [j7]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: 104202 (2022) - [j6]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) - [c24]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 - [c23]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 - [c22]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 - [c21]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: 90-96 - [c20]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: 211-216 - [c19]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: 515-516 - [c18]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: 517-518 - [c17]Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Hongfang Liu:
MedTator: A Serverless Web-based Tool for Corpus Annotation. ICHI 2022: 530-531 - [i6]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 abs/2212.01941 (2022) - 2021
- [j5]Andrew Wen, Liwei Wang, Huan He, Sijia Liu, Sunyang Fu, Sunghwan Sohn, Jacob A. Kugel, Vinod C. Kaggal, Ming Huang, Yanshan Wang, Feichen Shen, Jungwei Fan, Hongfang Liu:
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. J. Biomed. Informatics 113: 103660 (2021) - [c16]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 - [c15]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 - [c14]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: 905-912 - [c13]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: 173-177 - [c12]Sunyang Fu, Omar A. Ibrahim, Yanshan Wang, Maria Vassilaki, Ronald C. Petersen, Michelle M. Mielke, Jennifer St Sauver, Sunghwan Sohn:
Prediction of Incident Dementia Using Patient Temporal Health Status. MedInfo 2021: 757-761 - [i5]Bhavani Singh Agnikula Kshatriya, Nicolas A. Nunez, Manuel Gardea-Resendez, Euijung Ryu, Brandon J. Coombes, Sunyang Fu, Mark A. Frye, Joanna M. Biernacka, Yanshan Wang:
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes. CoRR abs/2104.09644 (2021) - [i4]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 abs/2110.10780 (2021) - 2020
- [j4]Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Clinical concept extraction: A methodology review. J. Biomed. Informatics 109: 103526 (2020) - [j3]Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
MedSTS: a resource for clinical semantic textual similarity. Lang. Resour. Evaluation 54(1): 57-72 (2020) - [j2]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): 60 (2020) - [c11]Sijia Liu, Sunyang Fu, Sungrim Moon, Andrew Wen, Hongfang Liu:
Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study. AMIA 2020 - [c10]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 - [c9]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 - [c8]Andrew Wen, Sunyang Fu, Feichen Shen, Hongfang Liu:
Accelerating Development of Learning Healthcare Systems via Distantly Supervised Knowledge Discovery. AMIA 2020 - [c7]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 - [c6]Shi Yan, Taghi Ramazanian, Elham Sagheb, Sunyang Fu, Sunghwan Sohn, David G. Lewallen, Hongfang Liu, Walter K. Kremers, Vipin Chaudhary, Michael J. Taunton, Hilal Maradit Kremers, Ahmad P. Tafti:
DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. ISVC (2) 2020: 154-165
2010 – 2019
- 2019
- [j1]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) - [c5]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: 1380-1387 - [i3]Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu:
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease? CoRR abs/1908.10678 (2019) - [i2]Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu:
Development of Clinical Concept Extraction Applications: A Methodology Review. CoRR abs/1910.11377 (2019) - 2018
- [c4]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 - [c3]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 - [c2]Majid Rastegar-Mojarad, Sijia Liu, Yanshan Wang, Naveed Afzal, Liwei Wang, Feichen Shen, Sunyang Fu, Hongfang Liu:
BioCreative/OHNLP Challenge 2018. BCB 2018: 575 - [i1]Yanshan Wang, Naveed Afzal, Sunyang Fu, Liwei Wang, Feichen Shen, Majid Rastegar-Mojarad, Hongfang Liu:
MedSTS: A Resource for Clinical Semantic Textual Similarity. CoRR abs/1808.09397 (2018) - 2015
- [c1]Michael T. Lash, Sunyang Fu, Shiyao Wang, Kang Zhao:
Early Prediction of Movie Success - What, Who, and When. SBP 2015: 345-349
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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