Yilu Fang - RankMe

23 papers Misc 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A data-driven method for research trend analysis in a scientific discipline: Application to the journal of biomedical informatics. J. Biomed. Informatics Yilu Fang, Gongbo Zhang, Samir Sanchez Tejada, Fangyi Chen, Edward H. Shortliffe, Vimla L. Patel, Mor Peleg, Chunhua Weng
2025	J	`jnl`	A Method for Characterizing Disease Progression from Acute Kidney Injury to Chronic Kidney Disease. CoRR Yilu Fang, Jordan G. Nestor, Casey N. Ta, Jerard Z. Kneifati-Hayek, Chunhua Weng
2025	J	`jnl`	A method for characterizing disease progression from acute kidney injury to chronic kidney disease. J. Biomed. Informatics Yilu Fang, Jordan G. Nestor, Casey N. Ta, Jerard Z. Kneifati-Hayek, Chunhua Weng
2025	J	`jnl`	CLEAR: A vision to support clinical evidence lifecycle with continuous learning. J. Biomed. Informatics Yilu Fang, Gongbo Zhang, Fangyi Chen, George Hripcsak, Yifan Peng, Patrick B. Ryan, Chunhua Weng
2025	J	`jnl`	Leveraging long context in retrieval augmented language models for medical question answering. npj Digit. Medicine Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2025	J	`jnl`	Scalable Scientific Interest Profiling Using Large Language Models. CoRR Yilun Liang, Gongbo Zhang, Edward Sun, Betina Idnay, Yilu Fang, Fangyi Chen, Casey N. Ta, Yifan Peng, Chunhua Weng
2025	J	`jnl`	Scalable scientific interest profiling using large language models. J. Biomed. Informatics Yilun Liang, Gongbo Zhang, Edward Sun, Betina Idnay, Yilu Fang, Fangyi Chen, Casey N. Ta, Yifan Peng, Chunhua Weng
2025	J	`jnl`	Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition. J. Am. Medical Informatics Assoc. Fangyi Chen, Gongbo Zhang, Yilu Fang, Yifan Peng, Chunhua Weng
2024	J	`jnl`	A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models. CoRR Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2024	J	`jnl`	Criteria2Query 3.0: Leveraging generative large language models for clinical trial eligibility query generation. J. Biomed. Informatics 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
2024	J	`jnl`	Knowledge-guided generative artificial intelligence for automated taxonomy learning from drug labels. J. Am. Medical Informatics Assoc. Yilu Fang, Patrick Ryan, Chunhua Weng
2024	J	`jnl`	Promoting equity in clinical research: The role of social determinants of health. J. Biomed. Informatics Betina Idnay, Yilu Fang, Edward Stanley, Brenda Ruotolo, Wendy K. Chung, Karen Marder, Chunhua Weng
2024	J	`jnl`	Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition. CoRR Fangyi Chen, Gongbo Zhang, Yilu Fang, Yifan Peng, Chunhua Weng
2024	J	`jnl`	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. 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
2023	J	`jnl`	A data-driven approach to optimizing clinical study eligibility criteria. J. Biomed. Informatics Yilu Fang, Hao Liu, Betina Ross S. Idnay, Casey N. Ta, Karen Marder, Chunhua Weng
2023	J	`jnl`	Clinical and temporal characterization of COVID-19 subgroups using patient vector embeddings of electronic health records. J. Am. Medical Informatics Assoc. Casey N. Ta, Jason E. Zucker, Po-Hsiang Chiu, Yilu Fang, Karthik Natarajan, Chunhua Weng
2023	J	`jnl`	Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessment. Int. J. Medical Informatics Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall
2022	J	`jnl`	Combining human and machine intelligence for clinical trial eligibility querying. J. Am. Medical Informatics Assoc. Yilu Fang, Betina Ross S. Idnay, Yingcheng Sun, Hao Liu, Zhehuan Chen, Karen Marder, Hua Xu, Rebecca Schnall, Chunhua Weng
2022	Misc	`conf`	Criteria2Query 2.0: Combining Machine Efficiency and Human Intelligence to Define a More Accurate and Feasible Cohort for Clinical Trial Recruitment. AMIA Betina Ross S. Idnay, Yilu Fang, Yingcheng Sun, Hao Liu, Zhehuan Chen, Rebecca Schnall, Chunhua Weng
2022	—	`conf`	Data-Driven Modeling of Randomized Controlled Trial Outcomes. MIE Zhehuan Chen, Yilu Fang, Hao Liu, Chunhua Weng
2022	Misc	`conf`	Optimizing Clinical Research Eligibility Prescreening: An Iterative Usability Evaluation of an NLP-driven Cohort Identification Tool. AMIA Betina Ross S. Idnay, Yilu Fang, Caitlin N. Dreisbach, Karen Marder, Chunhua Weng, Rebecca Schnall
2021	—	`conf`	Interactive Similarity-Based Search of Clinical Trials. MedInfo Yingcheng Sun, Jiaqi Tang, Alex Butler, Cong Liu, Yilu Fang, Chunhua Weng
2021	—	`conf`	Participatory Design of a Clinical Trial Eligibility Criteria Simplification Method. MIE 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