Yilu Fang

According to our database, Yilu Fang authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

A neural-symbolic AI agent system for biomedical concept mapping.

Gongbo Zhang, Yilu Fang, Fangyi Chen, Casey N. Ta, George Hripcsak, Patrick B. Ryan, Yifan Peng, Chunhua Weng

npj Digit. Medicine, 2026

A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics.

Yilu Fang, Gongbo Zhang, Samir Sanchez Tejada, Fangyi Chen, Edward H. Shortliffe, Vimla L. Patel, Mor Peleg, Chunhua Weng

J. Biomed. Informatics, 2026

A critical evaluation of generative query expansion on biomedical literature retrieval.

Yilu Fang, Gongbo Zhang, Fangyi Chen, Yifan Peng, Chunhua Weng

J. Am. Medical Informatics Assoc., 2026

2025

Leveraging long context in retrieval augmented language models for medical question answering.

Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 2025

Scalable scientific interest profiling using large language models.

Yilun Liang, Gongbo Zhang, Edward Sun, Betina Idnay, Yilu Fang, Fangyi Chen, Casey N. Ta, Yifan Peng, Chunhua Weng

J. Biomed. Informatics, 2025

CLEAR: A vision to support clinical evidence lifecycle with continuous learning.

Yilu Fang, Gongbo Zhang, Fangyi Chen, George Hripcsak, Yifan Peng, Patrick B. Ryan, Chunhua Weng

J. Biomed. Informatics, 2025

A method for characterizing disease progression from acute kidney injury to chronic kidney disease.

Yilu Fang, Jordan G. Nestor, Casey N. Ta, Jerard Z. Kneifati-Hayek, Chunhua Weng

J. Biomed. Informatics, 2025

Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.

Fangyi Chen, Gongbo Zhang, Yilu Fang, Yifan Peng, Chunhua Weng

J. Am. Medical Informatics Assoc., 2025

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

Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition.

Fangyi Chen, Gongbo Zhang, Yilu Fang, Yifan Peng, Chunhua Weng

CoRR, 2024

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models.

Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

CoRR, 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