Yilu Fang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Human Intelligence

Natural Language Processing

Clinical Trials

Electronic Health Records

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

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 (2024)
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) (2024)
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 (2024)
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) (2023)
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 (2023)
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 (2023)
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)
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) (2022)
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)
Zhehuan Chen, Yilu Fang, Hao Liu, Chunhua Weng
Data-Driven Modeling of Randomized Controlled Trial Outcomes. MIE (2022)
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)
Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng
Interactive Similarity-Based Search of Clinical Trials. MedInfo (2021)