default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHongfang Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j143]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)- [j142]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) - [j141]Satya S. Sahoo, Joseph M. Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane M. Meystre, Yanshan Wang:
Large language models for biomedicine: foundations, opportunities, challenges, and best practices. J. Am. Medical Informatics Assoc. 31(9): 2114-2124 (2024) - [j140]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) - [j139]Sonish Sivarajkumar, Haneef Ahamed Mohammad, David Oniani, Kirk Roberts, William R. Hersh, Hongfang Liu, Daqing He, Shyam Visweswaran, Yanshan Wang:
Clinical Information Retrieval: A Literature Review. J. Heal. Informatics Res. 8(2): 313-352 (2024) - [j138]Zhao Wang, Hongfang Liu, Yuhu Liu:
Nordhaus-Gaddum-Type Results for the k-Independent Number of Graphs. J. Interconnect. Networks 24(1): 2350007:1-2350007:9 (2024) - [j137]Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng:
Digital twins for health: a scoping review. npj Digit. Medicine 7(1) (2024) - [c249]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 - [c248]Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang:
Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD 2024: 6720-6721 - [i26]Mingchen Li, Anne H. Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang:
CancerLLM: A Large Language Model in Cancer Domain. CoRR abs/2406.10459 (2024) - [i25]Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu:
Large Language Models Struggle in Token-Level Clinical Named Entity Recognition. CoRR abs/2407.00731 (2024) - 2023
- [j136]Xiaoyang Ruan, Liwei Wang, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu:
GRU-D-Weibull: A novel real-time individualized endpoint prediction. Artif. Intell. Medicine 146: 102696 (2023) - [j135]Jungwei Fan, Wanjing Wang, Ming Huang, Hongfang Liu, W. M. Hooten:
Retrospective content analysis of consumer product reviews related to chronic pain. Frontiers Digit. Health 5 (2023) - [j134]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) - [j133]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) - [j132]Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. 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:
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142: 104343 (2023) - [j131]Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang:
The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19. J. Heal. Informatics Res. 7(2): 169-202 (2023) - [j130]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) - [c247]Rui Li, Andrew Wen, Jing Gao, Hongfang Liu:
MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks. BCB 2023: 11:1-11:10 - [c246]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 - [c245]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 - [c244]Ming Huang, Aditya Khurana, George M. Mastorakos, Jiawei Zhou, Nansu Zong, Yue Yu, Julie E. Prigge, Christi A. Patten, Hongfang Liu, Brian Costello:
Characterizing the Users of Patient Portal Messaging: A Single Institutional Cohort Study. ICHI 2023: 381-387 - [c243]Christina Letter, Puneet Gupta, Annie Kim, Guang-Ting Cong, Hongfang Liu, Ahmad P. Tafti:
Gender-Specific Machine Learning Models to Predict Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty. ICHI 2023: 717-721 - [c242]Carlo Combi, Julio C. Facelli, Peter Haddawy, John H. Holmes, Sabine Koch, Hongfang Liu, Jochen Meyer, Mor Peleg, Giuseppe Pozzi, Gregor Stiglic, Pierangelo Veltri, Christopher C. Yang:
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective. ICHI 2023: 760-762 - [i24]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) - [i23]Sicheng Zhou, Nan Wang, Liwei Wang, Ju Sun, Anne H. Blaes, Hongfang Liu, Rui Zhang:
A Cross-institutional Evaluation on Breast Cancer Phenotyping NLP Algorithms on Electronic Health Records. CoRR abs/2303.08448 (2023) - [i22]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) - [i21]Xiaoyang Ruan, Liwei Wang, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu:
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction. CoRR abs/2308.07452 (2023) - 2022
- [j129]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) - [j128]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) - [j127]Yiqing Zhao, Matthew Brush, Chen Wang, Alex H. Wagner, Hongfang Liu, Robert R. Freimuth:
Leveraging a pharmacogenomics knowledgebase to formulate a drug response phenotype terminology for genomic medicine. Bioinform. 38(23): 5279-5287 (2022) - [j126]Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A. Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-Hui Huang, Yujia Tian, Eric Merrell, William D. Duncan, Sivaram Arabandi, Lynn M. Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S. Omenn, Brian D. Athey, Barry Smith:
A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology. J. Biomed. Semant. 13(1): 25 (2022) - [j125]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) - [j124]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) - [j123]Sicheng Zhou, Nan Wang, Liwei Wang, Hongfang Liu, Rui Zhang:
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records. J. Am. Medical Informatics Assoc. 29(7): 1208-1216 (2022) - [j122]Jason A. Thomas, Randi E. Foraker, Noa Zamstein, Jon D. Morrow, Philip R. O. Payne, Adam B. Wilcox, Melissa A. Haendel, Christopher G. Chute, Kenneth R. Gersing, Anita Walden, Tellen D. Bennett, David A. Eichmann, Justin Guinney, Warren A. Kibbe, Hongfang Liu, Emily R. Pfaff, Peter N. Robinson, Joel H. Saltz, Heidi Spratt, Justin Starren, Christine Suver, Chunlei Wu, Davera Gabriel, Stephanie S. Hong, Kristin Kostka, Harold P. Lehmann, Richard A. Moffitt, Michele Morris, Matvey B. Palchuk, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Mark M. Bissell, Marshall Clark, Andrew T. Girvin, Adam M. Lee, Robert T. Miller, Kellie M. Walters, Yooree Chae, Connor Cook, Alexandra Dest, Racquel R. Dietz, Thomas Dillon, Patricia A. Francis, Rafael Fuentes, Alexis Graves, Andrew J. Neumann, Shawn T. O'Neil, Usman Sheikh, Andréa M. Volz, Elizabeth Zampino, Christopher P. Austin, Samuel Bozzette, Mariam Deacy, Nicole Garbarini, Michael G. Kurilla, Sam G. Michael, Joni L. Rutter, Meredith Temple-O'Connor, Katie Rebecca Bradwell, Amin Manna, Nabeel Qureshi, Mary Morrison Saltz, Julie A. McMurry, Carolyn T. Bramante, Jeremy Richard Harper, Wenndy Hernandez, Farrukh M. Koraishy, Federico Mariona, Saidulu Mattapally, Amit Saha, Satyanarayana Vedula, Yujuan Fu, Nisha Mathews, Ofer Mendelevitch:
Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility: results from analyzing >1.8 million SARS-CoV-2 tests in the United States National COVID Cohort Collaborative (N3C). J. Am. Medical Informatics Assoc. 29(8): 1350-1365 (2022) - [j121]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) - [j120]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) - [c241]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 - [c240]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 - [c239]Huan He, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu, Mahnoor Islam:
Real-time Exploration of Pairwise Meta-analysis Results by Applying Serverless Architecture Design. AMIA 2022 - [c238]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 - [c237]Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu:
Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives. AMIA 2022 - [c236]Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu:
Mapping Family History Information from Clinical Narratives to Ontologies or Terminological Resources. AMIA 2022 - [c235]Irbaz Bin Riaz, Huan He, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mahnoor Islam, Mohammad Hassan Murad, Hongfang Liu:
A Hybrid Approach to Semi-automate the Evaluation of the Certainty of Evidence for Living Systematic Reviews and Meta-analysis. AMIA 2022 - [c234]Liwei Wang, Sungrim Moon, Sicheng Zhou, Huan He, Hongfang Liu:
Annotation Enhancement of Synthetic Family History Corpus. AMIA 2022 - [c233]Sungrim Moon, Huan He, Hongfang Liu:
Sublanguage Characteristics of Clinical Documents. BIBM 2022: 3280-3286 - [c232]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 - [c231]Jiawei Zhou, Rosa I. Arriaga, Hongfang Liu, Ming Huang:
A Tale of Two Perspectives: Harvesting System Views and User Views to Understand Patient Portal Engagement. ICHI 2022: 373-383 - [c230]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 - [c229]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 - [c228]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 - [i20]Sungrim Moon, Huan He, Hongfang Liu, Jungwei Fan:
RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions. CoRR abs/2201.02517 (2022) - [i19]Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas J. Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A. Eddy, Justin Guinney, Sean D. Mooney, Thomas Schaffter:
The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models. CoRR abs/2206.14181 (2022) - [i18]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) - [i17]Xiaoyang Ruan, Liwei Wang, Michelle Mai, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu:
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction. CoRR abs/2212.09606 (2022) - 2021
- [j119]Nansu Zong, Daniel J. Stone, Deepak K. Sharma, Andrew Wen, Chen Wang, Yue Yu, Ming Huang, Sijia Liu, Hongfang Liu, Qian Shi, Guoqian Jiang:
Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data. Int. J. Medical Informatics 145: 104308 (2021) - [j118]Carolyn Petersen, Jeffery Smith, Robert R. Freimuth, Kenneth W. Goodman, Gretchen Purcell Jackson, Joseph L. Kannry, Hongfang Liu, Subha Madhavan, Dean F. Sittig, Adam Wright:
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper. J. Am. Medical Informatics Assoc. 28(4): 677-684 (2021) - [j117]Jianfu Li, Yujia Zhou, Xiaoqian Jiang, Karthik Natarajan, Serguei V. S. Pakhomov, Hongfang Liu, Hua Xu:
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition. J. Am. Medical Informatics Assoc. 28(10): 2193-2201 (2021) - [j116]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) - [j115]Yiqing Zhao, Saravut J. Weroha, Ellen L. Goode, Hongfang Liu, Chen Wang:
Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness. BMC Medical Informatics Decis. Mak. 21(1): 3 (2021) - [j114]Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu, Young J. Juhn:
Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. BMC Medical Informatics Decis. Mak. 21(1): 310 (2021) - [c227]Chao Jiang, Victoria Ngo, Richard Chapman, Hongfang Liu, Guoqian Jiang, Nansu Zong:
Automatic Construction of Biomedical Knowledge Graph from Covid-19 Literature. AMIA 2021 - [c226]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:
Patient Asynchronous Response to Coronavirus Disease 2019 (COVID-19): A Retrospective Analysis of Patient Portal Messages. AMIA 2021 - [c225]Hossein Estiri, Yuan Luo, Hongfang Liu, Suzanne Tamang, Harold P. Lehmann:
Addressing Bias in the Application of Machine Learning on Real-World Data. AMIA 2021 - [c224]Huan He, Irbaz Bin Riaz, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu:
A Hybrid Approach to Semi-Automate the Screening Process for Living Systematic Reviews and Meta-Analysis. AMIA 2021 - [c223]Huan He, Liwei Wang, Andrew Wen, Ming Huang, Yanshan Wang, Hongfang Liu:
COVID-19 Dashboard: Visual Exploration of the Regional Pandemic Trend. AMIA 2021 - [c222]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:
Disparity analysis of patient portal messaging use for COVID-19 in urban versus rural locality. AMIA 2021 - [c221]Irbaz Bin Riaz, Huan He, Syed Arsalan Ahmed Naqvi, Rabbia Siddiqi, Noureen Asghar, Mohammad Hassan Murad, Hongfang Liu:
An Interactive Data Extraction System to Create the Living Systematic Reviews and Meta-Analysis. AMIA 2021 - [c220]Daniel J. Stone, Sijia Liu, Yuan Luo, Andrew Wen, Nansu Zong, Luke V. Rasmussen, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Fei Wang, Cui Tao, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
FHIRTime: Standardizing Temporal Patterns Identified from Clinical Narratives Using HL7 FHIR. AMIA 2021 - [c219]Andrew Wen, Luke V. Rasmussen, Daniel J. Stone, Sijia Liu, Prakash Adekkanattu, Pascal S. Brandt, Jennifer A. Pacheco, Yuan Luo, Fei Wang, Jyotishman Pathak, Hongfang Liu, Guoqian Jiang:
On Constraints and Considerations for Extending Support for Natural Language Processing-Based FHIR Resource Generation. AMIA 2021 - [c218]Yiqing Zhao, Matthew Brush, Hongfang Liu, Robert R. Freimuth:
Modeling Variant Annotation (VA) Therapeutic Association Statements using a SEPIO-Based Workflow. AMIA 2021 - [c217]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 - [c216]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 - [c215]Yanbo Guo, Chen Wang, Raymond M. Moore, Hongfang Liu, Feichen Shen:
POKR: Building a Computable Heterogeneous Knowledge Resource for Precision Oncology. MedInfo 2021: 243-247 - [e3]Denis Newman-Griffis, Bart Desmet, Ayah Zirikly, Suzanne Tamang, Hongfang Liu:
Proceedings of the Second Workshop on Artificial Intelligence for Function, Disability, and Health co-located with the 2021 International Joint Conference on Artificial Intelligence, AI4Function@IJCAI 2021, Online, August 20-21, 2021. CEUR Workshop Proceedings 2926, CEUR-WS.org 2021 [contents] - [i16]David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen:
Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features. CoRR abs/2101.05866 (2021) - [i15]David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen:
Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping. CoRR abs/2103.16316 (2021) - [i14]Greg M. Silverman, Raymond L. Finzel, Michael V. Heinz, Jake Vasilakes, Jacob C. Solinsky, Reed McEwan, Benjamin C. Knoll, Christopher J. Tignanelli, Hongfang Liu, Hua Xu, Xiaoqian Jiang, Genevieve B. Melton, Serguei V. S. Pakhomov:
An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles. CoRR abs/2108.02255 (2021) - [i13]Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang:
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records. CoRR abs/2108.11303 (2021) - [i12]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
- [j113]Haitao Wang, Yanli Chen, Juan Wang, Hao Peng, Hongfang Liu:
Mutual Inference Model for User Roles and Urban Functional Zones. Int. J. Softw. Eng. Knowl. Eng. 30(4): 503-521 (2020) - [j112]Vanessa L. Kronzer, Liwei Wang, Hongfang Liu, John M. Davis III, Jeffrey A. Sparks, Cynthia S. Crowson:
Investigating the impact of disease and health record duration on the eMERGE algorithm for rheumatoid arthritis. J. Am. Medical Informatics Assoc. 27(4): 601-605 (2020) - [j111]Fang Li, Jingcheng Du, Yongqun He, Hsing-yi Song, Mohcine Madkour, Guozheng Rao, Yang Xiang, Yi Luo, Henry W. Chen, Sijia Liu, Liwei Wang, Hongfang Liu, Hua Xu, Cui Tao:
Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events. J. Am. Medical Informatics Assoc. 27(7): 1046-1056 (2020) - [j110]David Oniani, Guoqian Jiang, Hongfang Liu, Feichen Shen:
Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases. J. Am. Medical Informatics Assoc. 27(8): 1259-1267 (2020) - [j109]Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L. DuVall, Elizabeth Hanchrow, Hongfang Liu, Kristine E. Lynch, Michael E. Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M. Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu:
COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. J. Am. Medical Informatics Assoc. 27(9): 1437-1442 (2020) - [j108]Yanshan Wang, Yiqing Zhao, Terry M. Therneau, Elizabeth J. Atkinson, Ahmad P. Tafti, Nan Zhang, Shreyasee Amin, Andrew H. Limper, Sundeep Khosla, Hongfang Liu:
Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records. J. Biomed. Informatics 102: 103364 (2020) - [j107]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) - [j106]Kevin J. Peterson, Guoqian Jiang, Hongfang Liu:
A corpus-driven standardization framework for encoding clinical problems with HL7 FHIR. J. Biomed. Informatics 110: 103541 (2020) - [j105]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) - [j104]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) - [c214]Sijia Liu, Sunyang Fu, Sungrim Moon, Andrew Wen, Hongfang Liu:
Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study. AMIA 2020 - [c213]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 - [c212]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 - [c211]