Yilu Fang

According to our database, Yilu Fang authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation.

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

J. Biomed. Informatics, 2024

Promoting equity in clinical research: The role of social determinants of health.

Betina Idnay, Yilu Fang, Edward Stanley, Brenda Ruotolo, Wendy K. Chung, Karen Marder, Chunhua Weng

J. Biomed. Informatics, 2024

Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer's disease and related dementias.

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

J. Am. Medical Informatics Assoc., 2024

Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels.

Yilu Fang, Patrick Ryan, Chunhua Weng

J. Am. Medical Informatics Assoc., 2024

2023

A data-driven approach to optimizing clinical study eligibility criteria.

Yilu Fang, Hao Liu, Betina Ross S. Idnay, Casey N. Ta, Karen Marder, Chunhua Weng

J. Biomed. Informatics, June, 2023

Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment.

Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall

Int. J. Medical Informatics, March, 2023

Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records.

Casey N. Ta, Jason E. Zucker, Po-Hsiang Chiu, Yilu Fang, Karthik Natarajan, Chunhua Weng

J. Am. Medical Informatics Assoc., January, 2023

2022

Combining human and machine intelligence for clinical trial eligibility querying.

Yilu Fang, Betina Ross S. Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng

J. Am. Medical Informatics Assoc., 2022

Data-Driven Modeling of Randomized Controlled Trial Outcomes.

Zhehuan Chen, Yilu Fang, Hao Liu, Chunhua Weng

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment.

Betina Ross S. Idnay, Yilu Fang, Yingcheng Sun, Hao Liu, Zhehuan Chen, Rebecca Schnall, Chunhua Weng

Proceedings of the AMIA 2022, 2022

Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool.

Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall

Proceedings of the AMIA 2022, 2022

2021

Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method.

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

Proceedings of the Public Health and Informatics, 2021

Interactive Similarity-Based Search of Clinical Trials.

Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021