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ORCIDBetina Ross S. Idnay
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2020 – today
- 2024
[j12]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)- [j11]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) - [j10]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) - [j9]Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open source and commercial large language models for medical evidence summarization. npj Digit. Medicine 7(1) (2024) - [i1]Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Ross S. Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open-source and commercial large language models for medical evidence summarization. CoRR abs/2408.00588 (2024) - 2023
- [j8]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) - [j7]Abigail Newbury, Hao Liu, Betina Ross S. Idnay, Chunhua Weng:
The suitability of UMLS and SNOMED-CT for encoding outcome concepts. J. Am. Medical Informatics Assoc. 30(12): 1895-1903 (2023) - [j6]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) - [j5]Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng:
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023) - 2022
- [b1]Betina Ross S. Idnay:
Improving Eligibility Prescreening for Alzheimer's Disease and Related Dementias Clinical Trials with Natural Language Processing. Columbia University, USA, 2022 - [j4]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) - [c4]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 - [c3]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 - 2021
- [j3]Evette Cordoba, Betina Ross S. Idnay, Robert Garofalo, Lisa M. Kuhns, Cynthia Pearson, Josh Bruce, D. Scott Batey, Asa Radix, Uri Belkind, Marco A. Hidalgo, Sabina Hirshfield, Rafael Garibay Rodriguez, Rebecca Schnall:
Examining the Information Systems Success (ISS) of a mobile sexual health app (MyPEEPS Mobile) from the perspective of very young men who have sex with men (YMSM). Int. J. Medical Informatics 153: 104529 (2021) - [j2]Yingcheng Sun, Alex M. Butler, Fengyang Lin, Hao Liu, Latoya A. Stewart, Jae Hyun Kim, Betina Ross S. Idnay, Qingyin Ge, Xinyi Wei, Cong Liu, Chi Yuan, Chunhua Weng:
The COVID-19 Trial Finder. J. Am. Medical Informatics Assoc. 28(3): 616-621 (2021) - [j1]Betina Ross S. Idnay, Caitlin N. Dreisbach, Chunhua Weng, Rebecca Schnall:
A systematic review on natural language processing systems for eligibility prescreening in clinical research. J. Am. Medical Informatics Assoc. 29(1): 197-206 (2021) - [c2]Adrienne Pichon, Betina Ross S. Idnay, Rebecca Schnall, Karen Marder, Chunhua Weng:
Cognitive Function Characterization Using Electronic Health Records Notes. AMIA 2021 - [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
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