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Betina Idnay

Showing results (1-10 of 26) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|November 2, 2021
A systematic review on natural language processing systems for eligibility prescreening in clinical researchBetina Idnay, Caitlin Dreisbach, Chunhua Weng, et al.
Journal of the American Medical Informatics Association : JAMIA|August 24, 2023
The suitability of UMLS and SNOMED-CT for encoding outcome conceptsAbigail Newbury, Hao Liu, Betina Idnay, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Cognitive Function Characterization Using Electronic Health Records NotesAdrienne Pichon, Betina Idnay, Karen Marder, et al.
Journal of Biomedical Informatics|May 4, 2023
A data-driven approach to optimizing clinical study eligibility criteriaYilu Fang, Hao Liu, Betina Idnay, et al.
International Journal of Medical Informatics|January 13, 2023
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessmentBetina Idnay, Yilu Fang, Caitlin Dreisbach, et al.
Journal of Biomedical Informatics|June 5, 2024
Promoting equity in clinical research: The role of social determinants of healthBetina Idnay, Yilu Fang, Edward Stanley, et al.
BMJ Open|November 30, 2025
Returning aggregate research results to participants: a scoping review of current practices, preferences and challengesBetina Idnay, Yiwen Zhang, Kathleen Sandra Therese, et al.
Journal of Clinical and Translational Science|December 2, 2024
Clinical researchers' insights on key data for eligibility screening in clinical studiesBetina Idnay, Emily R Gordon, Aubrey S Johnson, et al.
Journal of the American Medical Informatics Association : JAMIA|November 9, 2024
Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record featuresBetina Idnay, Gongbo Zhang, Fangyi Chen, et al.
Studies in Health Technology and Informatics|August 23, 2024
Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department SettingsAviv Y Landau, Ashley Blanchard, Paritosh Kulkarni, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of the American Medical Informatics Association : JAMIA|November 2, 2021
A systematic review on natural language processing systems for eligibility prescreening in clinical researchBetina Idnay, Caitlin Dreisbach, Chunhua Weng, et al.
Journal of the American Medical Informatics Association : JAMIA|August 24, 2023
The suitability of UMLS and SNOMED-CT for encoding outcome conceptsAbigail Newbury, Hao Liu, Betina Idnay, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|March 21, 2022
Cognitive Function Characterization Using Electronic Health Records NotesAdrienne Pichon, Betina Idnay, Karen Marder, et al.
Journal of Biomedical Informatics|May 4, 2023
A data-driven approach to optimizing clinical study eligibility criteriaYilu Fang, Hao Liu, Betina Idnay, et al.
International Journal of Medical Informatics|January 13, 2023
Clinical research staff perceptions on a natural language processing-driven tool for eligibility prescreening: An iterative usability assessmentBetina Idnay, Yilu Fang, Caitlin Dreisbach, et al.
Journal of Biomedical Informatics|June 5, 2024
Promoting equity in clinical research: The role of social determinants of healthBetina Idnay, Yilu Fang, Edward Stanley, et al.
BMJ Open|November 30, 2025
Returning aggregate research results to participants: a scoping review of current practices, preferences and challengesBetina Idnay, Yiwen Zhang, Kathleen Sandra Therese, et al.
Journal of Clinical and Translational Science|December 2, 2024
Clinical researchers' insights on key data for eligibility screening in clinical studiesBetina Idnay, Emily R Gordon, Aubrey S Johnson, et al.
Journal of the American Medical Informatics Association : JAMIA|November 9, 2024
Mini-mental status examination phenotyping for Alzheimer's disease patients using both structured and narrative electronic health record featuresBetina Idnay, Gongbo Zhang, Fangyi Chen, et al.
Studies in Health Technology and Informatics|August 23, 2024
Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department SettingsAviv Y Landau, Ashley Blanchard, Paritosh Kulkarni, et al.
Pageof 3