Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Scott Crossley

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Behavior Research Methods|July 13, 2017
The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0Kristopher Kyle, Scott Crossley, Cynthia Berger
Behavior Research Methods|January 16, 2026
The Tool for Automatic Analysis of Decoding Ambiguity (TAADA)Scott Crossley, Joon Suh Choi, Kenny Tang, et al.
Journal of Health Care for the Poor and Underserved|September 14, 2022
Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE ProjectDean Schillinger, Renu Balyan, Scott Crossley, et al.
Behavior Research Methods|March 17, 2022
A large-scaled corpus for assessing text readabilityScott Crossley, Aron Heintz, Joon Suh Choi, et al.
Journal of General Internal Medicine|August 21, 2019
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE StudyWagahta Semere, Scott Crossley, Andrew J Karter, et al.
Journal of Diabetes Research|March 8, 2017
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure MessagingDean Schillinger, Danielle McNamara, Scott Crossley, et al.
Journal of the American Medical Informatics Association : JAMIA|November 25, 2020
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE studyAnupama Gunshekar Cemballi, Andrew J Karter, Dean Schillinger, et al.
Journal of Biomedical Informatics|December 14, 2020
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE studyWilliam Brown, Renu Balyan, Andrew J Karter, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Behavior Research Methods|July 13, 2017
The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0Kristopher Kyle, Scott Crossley, Cynthia Berger
Behavior Research Methods|January 16, 2026
The Tool for Automatic Analysis of Decoding Ambiguity (TAADA)Scott Crossley, Joon Suh Choi, Kenny Tang, et al.
Journal of Health Care for the Poor and Underserved|September 14, 2022
Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE ProjectDean Schillinger, Renu Balyan, Scott Crossley, et al.
Behavior Research Methods|March 17, 2022
A large-scaled corpus for assessing text readabilityScott Crossley, Aron Heintz, Joon Suh Choi, et al.
Journal of General Internal Medicine|August 21, 2019
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE StudyWagahta Semere, Scott Crossley, Andrew J Karter, et al.
Journal of Diabetes Research|March 8, 2017
The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure MessagingDean Schillinger, Danielle McNamara, Scott Crossley, et al.
Journal of the American Medical Informatics Association : JAMIA|November 25, 2020
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE studyAnupama Gunshekar Cemballi, Andrew J Karter, Dean Schillinger, et al.
Journal of Biomedical Informatics|December 14, 2020
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE studyWilliam Brown, Renu Balyan, Andrew J Karter, et al.
Pageof 1