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Improving Dietary Supplement Information Retrieval: Development of a Retrieval-Augmented Generation System With Large Language Models

Yu Hou, Jeffrey R Bishop, Hongfang Liu, Rui Zhang

J Med Internet Res 2025;27:e67677

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A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation

Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-DerHagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National COVID Cohort Collaborative, The RECOVER Initiative

JMIR Med Inform 2024;12:e49997

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Enhancing Clinical Relevance of Pretrained Language Models Through Integration of External Knowledge: Case Study on Cardiovascular Diagnosis From Electronic Health Records

Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

JMIR AI 2024;3:e56932

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Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice

Louis Faust, Patrick Wilson, Shusaku Asai, Sunyang Fu, Hongfang Liu, Xiaoyang Ruan, Curt Storlie

JMIR Med Inform 2024;12:e50437

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Acquisition of a Lexicon for Family History Information: Bidirectional Encoder Representations From Transformers–Assisted Sublanguage Analysis

Liwei Wang, Huan He, Andrew Wen, Sungrim Moon, Sunyang Fu, Kevin J Peterson, Xuguang Ai, Sijia Liu, Ramakanth Kavuluru, Hongfang Liu

JMIR Med Inform 2023;11:e48072

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Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study

Sungrim Moon, Huan He, Heling Jia, Hongfang Liu, Jungwei Wilfred Fan

JMIR AI 2023;2:e41818

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Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study

Thanai Pongdee, Nicholas B Larson, Rohit Divekar, Suzette J Bielinski, Hongfang Liu, Sungrim Moon

JMIR AI 2023;2:e44191

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Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation

Chao Jiang, Victoria Ngo, Richard Chapman, Yue Yu, Hongfang Liu, Guoqian Jiang, Nansu Zong

J Med Internet Res 2022;24(7):e38584

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Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis

Ming Huang, Aditya Khurana, George Mastorakos, Andrew Wen, Huan He, Liwei Wang, Sijia Liu, Yanshan Wang, Nansu Zong, Julie Prigge, Brian Costello, Nilay Shah, Henry Ting, Jungwei Fan, Christi Patten, Hongfang Liu

JMIR Hum Factors 2022;9(2):e35187

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Identifying Information Gaps in Electronic Health Records by Using Natural Language Processing: Gynecologic Surgery History Identification

Sungrim Moon, Luke A Carlson, Ethan D Moser, Bhavani Singh Agnikula Kshatriya, Carin Y Smith, Walter A Rocca, Liliana Gazzuola Rocca, Suzette J Bielinski, Hongfang Liu, Nicholas B Larson

J Med Internet Res 2022;24(1):e29015

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