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

Finneas J R Catling

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Journal of the American Medical Informatics Association : JAMIA|December 21, 2019
Temporal convolutional networks allow early prediction of events in critical careFinneas J R Catling, Anthony H Wolff
NPJ Digital Medicine|June 8, 2022
Highlighting uncertainty in clinical risk prediction using a model of emergency laparotomy mortality riskJakob F Mathiszig-Lee, Finneas J R Catling, S Ramani Moonesinghe, et al.
Critical Care Explorations|May 6, 2024
Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?Finneas J R Catling, Myura Nagendran, Paul Festor, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Journal of the American Medical Informatics Association : JAMIA|December 21, 2019
Temporal convolutional networks allow early prediction of events in critical careFinneas J R Catling, Anthony H Wolff
NPJ Digital Medicine|June 8, 2022
Highlighting uncertainty in clinical risk prediction using a model of emergency laparotomy mortality riskJakob F Mathiszig-Lee, Finneas J R Catling, S Ramani Moonesinghe, et al.
Critical Care Explorations|May 6, 2024
Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?Finneas J R Catling, Myura Nagendran, Paul Festor, et al.
Pageof 1