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Hongfang Liu

N3C Natural Language Processing

Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction


Dec 19, 2022
Xiaoyang Ruan, Liwei Wang, Michelle Mai, Charat Thongprayoon, Wisit Cheungpasitporn, Hongfang Liu

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* 30 pages, 3 tables, 1 supplementary table, 9 figures, 8 supplementary figures, 52 references 

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The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models


Jun 28, 2022
Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A Eddy, Justin Guinney, Sean Mooney, Thomas Schaffter

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RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions


Jan 07, 2022
Sungrim Moon, Huan He, Hongfang Liu, Jungwei W. Fan

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* 2 tables, 3 figures 

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An Open Natural Language Processing Development Framework for EHR-based Clinical Research: A case demonstration using the National COVID Cohort Collaborative (N3C)


Oct 20, 2021
Sijia Liu, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, Daniel Harris, Ramakanth Kavuluru, Mei Liu, Noor Abu-el-rub, Rui Zhang, John D. Osborne, Masoud Rouhizadeh, Yongqun He, Emily Pfaff, Christopher G. Chute, Tim Duong, Melissa A. Haendel, Rafael Fuentes, Peter Szolovits, Hua Xu, Hongfang Liu

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CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records


Aug 25, 2021
Sicheng Zhou, Liwei Wang, Nan Wang, Hongfang Liu, Rui Zhang

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An Empirical Study of UMLS Concept Extraction from Clinical Notes using Boolean Combination Ensembles


Aug 04, 2021
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 VS Pakhomov

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Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping


Mar 30, 2021
David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen

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* arXiv admin note: text overlap with arXiv:2101.05866 

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Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features


Jan 14, 2021
David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen

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Development of Clinical Concept Extraction Applications: A Methodology Review


Oct 28, 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

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How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?


Aug 21, 2019
Yanshan Wang, Krishna B. Soundararajan, Sunyang Fu, Luke A. Carlson, Rebecca A. Smith, David S. Knopman, Hongfang Liu

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