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

Cameron Carlin

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

Pageof 1
Sort By:
Journal of Biomedical Informatics|December 25, 2019
The impact of extraneous features on the performance of recurrent neural network models in clinical tasksEugene Laksana, Melissa Aczon, Long Ho, et al.
JCO Clinical Cancer Informatics|April 22, 2024
Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major OperationsMatthew C Hernandez, Chen Chen, Andrew Nguyen, et al.
JAMA Network Open|May 25, 2022
Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive SurgeryHuiyu Deng, Zahra Eftekhari, Cameron Carlin, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Biomedical Informatics|December 25, 2019
The impact of extraneous features on the performance of recurrent neural network models in clinical tasksEugene Laksana, Melissa Aczon, Long Ho, et al.
JCO Clinical Cancer Informatics|April 22, 2024
Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major OperationsMatthew C Hernandez, Chen Chen, Andrew Nguyen, et al.
JAMA Network Open|May 25, 2022
Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive SurgeryHuiyu Deng, Zahra Eftekhari, Cameron Carlin, et al.
Pageof 1