Betina Ross S. Idnay

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Natural Language Processing

Top Venues

J. Am. Medical Informatics Assoc.

Int. J. Medical Informatics

Publications

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)
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) (2023)
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)
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)
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) (2021)
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)
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 (2021)
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) (2021)
Adrienne Pichon, Betina Ross S. Idnay, Rebecca Schnall, Karen Marder, Chunhua Weng
Cognitive Function Characterization Using Electronic Health Records Notes. AMIA (2021)