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

Jordan Tschida

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
JCO Clinical Cancer Informatics|March 11, 2026
Mitigating Algorithmic Bias in Cancer Site Classification ModelsAbhishek Shivanna, Adam Spannaus, Jordan Tschida, et al.
Journal of Registry Management|May 11, 2026
Leveraging Large Language Models for Real-World Data Evidence: A Framework for Automated Treatment Extraction and Data HarmonizationAbhishek Shivanna, Austin Fitts, Jordan Tschida, et al.
JAMIA Open|May 12, 2025
Evaluating algorithmic bias on biomarker classification of breast cancer pathology reportsJordan Tschida, Mayanka Chandrashekar, Alina Peluso, et al.
The Journal of Pediatrics|July 20, 2025
Comparison of Expert Vocabulary Usage Patterns Between Mental Health and Nonmental Health Clinicians When Diagnosing Pediatric Anxiety DisordersMayanka Chandrashekar, Jordan Tschida, Jeffrey R Strawn, et al.
JAMIA Open|April 15, 2026
Evolving language of pediatric anxiety in electronic health recordsJordan Tschida, Mayanka Chandrashekar, Heidi A Hanson, et al.
Communications Medicine|March 5, 2026
A data-centric approach to detecting and mitigating demographic bias in pediatric mental health textJulia Ive, Paulina Bondaronek, Vishal Yadav, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
JCO Clinical Cancer Informatics|March 11, 2026
Mitigating Algorithmic Bias in Cancer Site Classification ModelsAbhishek Shivanna, Adam Spannaus, Jordan Tschida, et al.
Journal of Registry Management|May 11, 2026
Leveraging Large Language Models for Real-World Data Evidence: A Framework for Automated Treatment Extraction and Data HarmonizationAbhishek Shivanna, Austin Fitts, Jordan Tschida, et al.
JAMIA Open|May 12, 2025
Evaluating algorithmic bias on biomarker classification of breast cancer pathology reportsJordan Tschida, Mayanka Chandrashekar, Alina Peluso, et al.
The Journal of Pediatrics|July 20, 2025
Comparison of Expert Vocabulary Usage Patterns Between Mental Health and Nonmental Health Clinicians When Diagnosing Pediatric Anxiety DisordersMayanka Chandrashekar, Jordan Tschida, Jeffrey R Strawn, et al.
JAMIA Open|April 15, 2026
Evolving language of pediatric anxiety in electronic health recordsJordan Tschida, Mayanka Chandrashekar, Heidi A Hanson, et al.
Communications Medicine|March 5, 2026
A data-centric approach to detecting and mitigating demographic bias in pediatric mental health textJulia Ive, Paulina Bondaronek, Vishal Yadav, et al.
Pageof 1