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

Vien Ngoc Dang

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Journal of Healthcare Informatics Research|July 29, 2025
Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in HealthcareVien Ngoc Dang, Víctor M Campello, Jerónimo Hernández-González, et al.
PLOS Digital Health|August 18, 2025
Characterizing the role of early life factors in machine learning-based multimorbidity risk predictionVien Ngoc Dang, Charlotte Cecil, Carmine M Pariante, et al.
Scientific Reports|April 3, 2024
Fairness and bias correction in machine learning for depression prediction across four study populationsVien Ngoc Dang, Anna Cascarano, Rosa H Mulder, et al.
Medical Image Analysis|November 3, 2021
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentationVien Ngoc Dang, Francesco Galati, Rosa Cortese, et al.
Environmental Epidemiology (Philadelphia, Pa.)|February 16, 2022
LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseasesJustiina Ronkainen, Rozenn Nedelec, Angelica Atehortua, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Healthcare Informatics Research|July 29, 2025
Empirical Comparison of Post-processing Debiasing Methods for Machine Learning Classifiers in HealthcareVien Ngoc Dang, Víctor M Campello, Jerónimo Hernández-González, et al.
PLOS Digital Health|August 18, 2025
Characterizing the role of early life factors in machine learning-based multimorbidity risk predictionVien Ngoc Dang, Charlotte Cecil, Carmine M Pariante, et al.
Scientific Reports|April 3, 2024
Fairness and bias correction in machine learning for depression prediction across four study populationsVien Ngoc Dang, Anna Cascarano, Rosa H Mulder, et al.
Medical Image Analysis|November 3, 2021
Vessel-CAPTCHA: An efficient learning framework for vessel annotation and segmentationVien Ngoc Dang, Francesco Galati, Rosa Cortese, et al.
Environmental Epidemiology (Philadelphia, Pa.)|February 16, 2022
LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseasesJustiina Ronkainen, Rozenn Nedelec, Angelica Atehortua, et al.
Pageof 1