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2020 – today
- 2024
[j8]Betina Ross S. Idnay
, Jianfang Liu, Yilu Fang, Alex Hernandez, Shivani Kaw, Alicia Etwaru, Janeth Juarez Padilla, Sergio Ozoria Ramirez, Karen Marder, Chunhua Weng, Rebecca Schnall:
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias. J. Am. Medical Informatics Assoc. 31(5): 1062-1073 (2024)- [j7]Yilu Fang, Patrick Ryan, Chunhua Weng:
Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels. J. Am. Medical Informatics Assoc. 31(9): 2065-2075 (2024) - [j6]Jimyung Park, Yilu Fang, Casey N. Ta, Gongbo Zhang, Betina Idnay, Fangyi Chen, David Feng, Rebecca Shyu, Emily R. Gordon, Matthew E. Spotnitz, Chunhua Weng:
Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. J. Biomed. Informatics 154: 104649 (2024) - [j5]Betina Idnay, Yilu Fang, Edward Stanley, Brenda Ruotolo, Wendy K. Chung, Karen Marder, Chunhua Weng:
Promoting equity in clinical research: The role of social determinants of health. J. Biomed. Informatics 156: 104663 (2024) - 2023
- [j4]Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. Int. J. Medical Informatics 171: 104985 (2023) - [j3]Casey N. Ta, Jason E. Zucker, Po-Hsiang Chiu, Yilu Fang, Karthik Natarajan, Chunhua Weng:
Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. J. Am. Medical Informatics Assoc. 30(2): 256-272 (2023) - [j2]Yilu Fang, Hao Liu, Betina Ross S. Idnay, Casey N. Ta, Karen Marder, Chunhua Weng:
A data-driven approach to optimizing clinical study eligibility criteria. J. Biomed. Informatics 142: 104375 (2023) - 2022
- [j1]Yilu Fang, Betina Ross S. Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng:
Combining human and machine intelligence for clinical trial eligibility querying. J. Am. Medical Informatics Assoc. 29(7): 1161-1171 (2022) - [c5]Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall:
Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. AMIA 2022 - [c4]Betina Ross S. Idnay, Yilu Fang, Yingcheng Sun, Hao Liu, Zhehuan Chen, Rebecca Schnall, Chunhua Weng:
Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. AMIA 2022 - [c3]Zhehuan Chen, Yilu Fang, Hao Liu, Chunhua Weng:
Data-Driven Modeling of Randomized Controlled Trial Outcomes. MIE 2022: 392-396 - 2021
- [c2]Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng:
Interactive Similarity-Based Search of Clinical Trials. MedInfo 2021: 309-313 - [c1]Yilu Fang, Jae Hyun Kim, Betina Ross S. Idnay, Rebeca Aragon Garcia, Carmen E. Castillo, Yingcheng Sun, Hao Liu, Cong Liu, Chi Yuan, Chunhua Weng:
Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. MIE 2021: 984-988
Coauthor Index
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