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John P Lalor
Hong Yu

Showing results (1-10 of 7,249) with videos related to

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Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 31, 2020
Dynamic Data Selection for Curriculum Learning via Ability EstimationJohn P Lalor, Hong Yu
Journal of Medical Internet Research|January 22, 2019
Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced WorkersJohn P Lalor, Beverly Woolf, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 23, 2016
Building an Evaluation Scale using Item Response TheoryJohn P Lalor, Hao Wu, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 6, 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial CrowdsJohn P Lalor, Hao Wu, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|November 26, 2020
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case StudyJohn P Lalor, Hao Wu, Tsendsuren Munkhdalai, et al.
International Journal of Medical Informatics|February 13, 2023
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical TurkJohn P Lalor, Hao Wu, Kathleen M Mazor, et al.
Journal of Medical Internet Research|April 27, 2018
ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and ValidationJohn P Lalor, Hao Wu, Li Chen, et al.
Journal of Medical Internet Research|May 13, 2021
Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With PatientsJohn P Lalor, Wen Hu, Matthew Tran, et al.
Journal of Medical Internet Research|October 15, 2024
Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational StudyJohn P Lalor, David A Levy, Harmon S Jordan, et al.
Health Policy and Technology|December 9, 2024
Individual Factors That Affect Laypeople's Understanding of Definitions of Medical JargonDavid A Levy, Harmon S Jordan, John P Lalor, et al.
Pageof 725

Showing results (1-10 of 7,249) with videos related to

Sort By:
Pageof 725
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 31, 2020
Dynamic Data Selection for Curriculum Learning via Ability EstimationJohn P Lalor, Hong Yu
Journal of Medical Internet Research|January 22, 2019
Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced WorkersJohn P Lalor, Beverly Woolf, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 23, 2016
Building an Evaluation Scale using Item Response TheoryJohn P Lalor, Hao Wu, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|December 6, 2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial CrowdsJohn P Lalor, Hao Wu, Hong Yu
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|November 26, 2020
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case StudyJohn P Lalor, Hao Wu, Tsendsuren Munkhdalai, et al.
International Journal of Medical Informatics|February 13, 2023
Evaluating the efficacy of NoteAid on EHR note comprehension among US Veterans through Amazon Mechanical TurkJohn P Lalor, Hao Wu, Kathleen M Mazor, et al.
Journal of Medical Internet Research|April 27, 2018
ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and ValidationJohn P Lalor, Hao Wu, Li Chen, et al.
Journal of Medical Internet Research|May 13, 2021
Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With PatientsJohn P Lalor, Wen Hu, Matthew Tran, et al.
Journal of Medical Internet Research|October 15, 2024
Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational StudyJohn P Lalor, David A Levy, Harmon S Jordan, et al.
Health Policy and Technology|December 9, 2024
Individual Factors That Affect Laypeople's Understanding of Definitions of Medical JargonDavid A Levy, Harmon S Jordan, John P Lalor, et al.
Pageof 725