Early Prediction of Movie Success - What, Who, and When. - Michael T. Lash; Sunyang Fu; Shiyao Wang; Kang Zhao 001 (SBP, 2015)

Natural Language Processing for the Identification of Silent Brain Infractions from Neuroimaging Reports. - 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 (AMIA, 2018)

Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. - Andy Jinseok Lee; Sunyang Fu; V. G. Vinod Vydiswaran (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)

Artificial intelligence to organize patient portal messages: a journey from an ensemble deep learning text classification to rule-based named entity recognition. - Ahmad P. Tafti; Sunyang Fu; Aditya Khurana; George M. Mastorakos; Kenneth G. Poole; Stephen J. Traub; James A. Yiannias; Hongfang Liu (BIBM, 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)

Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation. - Andrew Wen; Sunyang Fu; Sungrim Moon; Mohamed El Wazir; Andrew Rosenbaum; Vinod C. Kaggal; Sijia Liu 002; Sunghwan Sohn; Hongfang Liu; Jungwei Fan 001 (npj Digit. Medicine, 2019)

Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study. - Sijia Liu 002; Sunyang Fu; Sungrim Moon; Andrew Wen; Hongfang Liu (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)

Accelerating Development of Learning Healthcare Systems via Distantly Supervised Knowledge Discovery. - Andrew Wen; Sunyang Fu; Feichen Shen; Hongfang Liu (AMIA, 2020)

Extracting Patient Genetic Information from Unstructured Clinical Notes. - Yiqing Zhao; Hanzhong Yu; Luke A. Carlson; Feichen Shen; Sunyang Fu; Hongfang Liu; Chen Wang 001 (AMIA, 2020)

DeepTKAClassifier: Brand Classification of Total Knee Arthroplasty Implants Using Explainable Deep Convolutional Neural Networks. - 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 (ISVC (2), 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)

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)

Assessment of the impact of EHR heterogeneity for clinical research through a case study of silent brain infarction. - 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 (BMC Medical Informatics Decis. Mak., 2020)

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)

Deep Learning Approaches for Breast Cancer Characteristics Extraction from Electronic Health Records. - Sicheng Zhou; Liwei Wang 010; Nan Wang; Sunyang Fu; Chetan Shenoy; Anne H. Blaes; Hongfang Liu; Rui Zhang 028 (AMIA, 2021)

Early Alert of Elderly Cognitive Impairment using Temporal Streaming Clustering. - Omar A. Ibrahim; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Michelle M. Mielke; Jennifer St Sauver; Sunghwan Sohn (BIBM, 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)

The Implication of Latent Information Quality to the Reproducibility of Secondary Use of Electronic Health Records. - Sunyang Fu; Andrew Wen; Sandeep R. Pagali; Nansu Zong; Jennifer St Sauver; Sunghwan Sohn; Jungwei Fan 001; Hongfang Liu (MedInfo, 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)

An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Rui Zhang 028; et al. (CoRR, 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)

Quality Assessment of Functional Status Documentation in EHR Across Institutions. - Sunyang Fu; Maria Vassilaki; Omar A. Ibrahim; Ronald C. Petersen; Jennifer St. Sauver; Liwei Wang 010; Jungwei Fan 001; Hongfang Liu; Sunghwan Sohn (AMIA, 2022)

Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator. - Huan He; Sunyang Fu; Liwei Wang 010; Andrew Wen; Sijia Liu 002; Sungrim Moon; Kurt Miller; Hongfang Liu (AMIA, 2022)

Probing Radiology Patient Experience Feedbacks with Aspect-based Sentiment Analysis. - Kurt Miller; Ming Huang 006; Sunyang Fu; Kris Abah; Andrea Maraboto Escarria; Kevin J. Peterson; Hongfang Liu; Lacey Hart; Nelly Tan (AMIA, 2022)

MedTator: A Serverless Web-based Tool for Corpus Annotation. - Huan He; Sunyang Fu; Liwei Wang 010; Andrew Wen; Sijia Liu 002; Hongfang Liu (ICHI, 2022)

Detection of Dementia Signals from Longitudinal Clinical Visits Using One-Class Classification. - Omar A. Ibrahim; Sunyang Fu; Maria Vassilaki; Michelle M. Mielke; Jennifer St Sauver; Ronald C. Petersen; Sunghwan Sohn (ICHI, 2022)

Aspect-based Sentiment Analysis of Radiology Patient Experience Surveys: A Cohort Study. - Kurt Miller; Sunyang Fu; Kris Abah; Andrea Maraboto Escarria; Kevin J. Peterson; Hongfang Liu; Lacey Hart; Nelly Tan; Ming Huang 006 (ICHI, 2022)

Evaluation of Document-Level Identification of Pulmonary Nodules in Radiology Reports Using FLAIR Natural Language Processing Framework. - Ray Oian; Sunyang Fu; Hongfang Liu (ICHI, 2022)

Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing. - Liwei Wang 010; Sunyang Fu; Andrew Wen; Xiaoyang Ruan; Huan He; Sijia Liu 002; Sungrim Moon; Michelle Mai; Irbaz Bin Riaz; Nan Wang; Ping Yang; Hua Xu 001; et al. (ICHI, 2022)

BETA: a comprehensive benchmark for computational drug-target prediction. - Nansu Zong; Ning Li; Andrew Wen; Victoria Ngo; Yue Yu; Ming Huang 006; Shaika Chowdhury; Chao Jiang 002; Sunyang Fu; Richard Weinshilboum; Guoqian Jiang; Lawrence Hunter; et al. (Briefings Bioinform., 2022)

MedTator: a serverless annotation tool for corpus development. - Huan He; Sunyang Fu; Liwei Wang 010; Sijia Liu 002; Andrew Wen; Hongfang Liu (Bioinform., 2022)

Systematic Design and Evaluation of Social Determinants of Health Ontology (SDoHO). - Yifang Dang; Fang Li 011; Xinyue Hu 002; Vipina Kuttichi Keloth; Meng Zhang; Sunyang Fu; Jingcheng Du; J. Wilfred Fan; Muhammad F. Amith; Evan Yu; Hongfang Liu; Xiaoqian Jiang; et al. (CoRR, 2022)

Quality assessment of functional status documentation in EHRs across different healthcare institutions. - Sunyang Fu; Maria Vassilaki; Omar A. Ibrahim; Ronald C. Petersen; Sandeep R. Pagali; Jennifer St Sauver; Sungrim Moon; Liwei Wang 010; Jungwei Fan 001; Hongfang Liu; Sunghwan Sohn (Frontiers Digit. Health, 2022)

A hybrid model to identify fall occurrence from electronic health records. - 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 (Int. J. Medical Informatics, 2022)

Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model. - Xiaoyang Ruan; Sunyang Fu; Curtis B. Storlie; Kellie L. Mathis; David W. Larson; Hongfang Liu (J. Biomed. Informatics, 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)

Harnessing Transfer Learning for Dementia Prediction: Leveraging Sex-Different Mild Cognitive Impairment Prognosis. - Ziming Liu; Muskan Garg; Sunyang Fu; Surjodeep Sarkar; Maria Vassilaki; Ronald C. Petersen; Jennifer St. Sauver; Sunghwan Sohn (BIBM, 2023)

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN. - Ziyi Chen; Ren Yang; Sunyang Fu; Nansu Zong; Hongfang Liu; Ming Huang 006 (ICHI, 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)

Classification of Patient Portal Messages with BERT-based Language Models. - Yang Ren; Dezhi Wu; Aditya Khurana; George M. Mastorakos; Sunyang Fu; Nansu Zong; Jungwei Fan 001; Hongfang Liu; Ming Huang 006 (ICHI, 2023)

Dementia Prediction in Older Adults Using Sex-Specific Health Trajectory Clustering. - Omar A. Ibrahim; Muskan Garg; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Jennifer St Sauver; Sunghwan Sohn (MedInfo, 2023)

Detecting Reddit Users with Depression Using a Hybrid Neural Network. - Ziyi Chen; Ren Yang; Sunyang Fu; Nansu Zong; Hongfang Liu; Ming Huang 006 (CoRR, 2023)

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. - Kai Zhang 039; Jun Yu; Zhiling Yan; Yixin Liu 002; Eashan Adhikarla; Sunyang Fu; Xun Chen; Chen Chen 001; Yuyin Zhou; Xiang Li 001; Lifang He 001; Brian D. Davison 001; et al. (CoRR, 2023)

The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era. - Andrew Wen; Huan He; Sunyang Fu; Sijia Liu 002; Kurt Miller; Liwei Wang 010; Kirk E. Roberts; Steven Bedrick; William R. Hersh; Hongfang Liu (npj Digit. Medicine, 2023)

Systematic design and data-driven evaluation of social determinants of health ontology (SDoHO). - Yifang Dang; Fang Li 011; Xinyue Hu 002; Vipina Kuttichi Keloth; Meng Zhang; Sunyang Fu; Muhammad F. Amith; J. Wilfred Fan; Jingcheng Du; Evan Yu; Hongfang Liu; Xiaoqian Jiang; et al. (J. Am. Medical Informatics Assoc., 2023)

An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). - Sijia Liu 002; Andrew Wen; Liwei Wang 010; Huan He; Sunyang Fu; Robert T. Miller; Andrew E. Williams; Daniel R. Harris; Ramakanth Kavuluru; Mei Liu; Noor Abu-El-Rub; Dalton Schutte; et al. (J. Am. Medical Informatics Assoc., 2023)

Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives. - Liwei Wang 010; Qiuhao Lu; Rui Li; Sunyang Fu; Hongfang Liu (ClinicalNLP@NAACL, 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)

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction. - Shaika Chowdhury; Yongbin Chen; Pengyang Li; Sivaraman Rajaganapathy; Andrew Wen; Xiao Ma 019; Qiying Dai; Yue Yu; Sunyang Fu; Xiaoqian Jiang; Zhe He 001; Sunghwan Sohn; et al. (J. Am. Medical Informatics Assoc., 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)

Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. - Yang Ren; Yuqi Wu; Jungwei W. Fan 001; Aditya Khurana; Sunyang Fu; Dezhi Wu; Hongfang Liu; Ming Huang 006 (J. Am. Medical Informatics Assoc., 2024)

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. - Sunyang Fu; Heling Jia; Maria Vassilaki; Vipina Kuttichi Keloth; Yifang Dang; Yujia Zhou 003; Muskan Garg; Ronald C. Petersen; Jennifer St Sauver; Sungrim Moon; Liwei Wang 010; Andrew Wen; et al. (J. Biomed. Informatics, 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)

Characterizing the progression from mild cognitive impairment to dementia: a network analysis of longitudinal clinical visits. - Muskan Garg; Sara Hejazi; Sunyang Fu; Maria Vassilaki; Ronald C. Petersen; Jennifer St. Sauver; Sunghwan Sohn (BMC Medical Informatics Decis. Mak., 2024)

Social determinants of health extraction from clinical notes across institutions using large language models. - Vipina Kuttichi Keloth; Salih Selek; Qingyu Chen 001; Christopher Gilman; Sunyang Fu; Yifang Dang; Xinghan Chen; Xinyue Hu 002; Yujia Zhou 003; Huan He; Jungwei W. Fan 001; Karen Wang; et al. (npj Digit. Medicine, 2025)

A scoping review of OMOP CDM adoption for cancer research using real world data. - Liwei Wang 010; Andrew Wen; Sunyang Fu; Xiaoyang Ruan; Ming Huang 006; Rui Li; Qiuhao Lu; Heather Lyu; Andrew E. Williams; Hongfang Liu (npj Digit. Medicine, 2025)