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

Matthew M Ruppert

Showing results (11-20 of 36) with videos related to

Pageof 4
Sort By:
Surgery|June 14, 2023
A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patientsEsra Adiyeke, Yuanfang Ren, Matthew M Ruppert, et al.
JMIR Medical Informatics|August 30, 2023
Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping ReviewJeremy A Balch, Matthew M Ruppert, Tyler J Loftus, et al.
The Journal of Trauma and Acute Care Surgery|February 2, 2023
Retrospective value assessment of a dedicated, trauma hybrid operating roomJeremy A Balch, Tyler J Loftus, Matthew M Ruppert, et al.
Journal of the American College of Surgeons|January 20, 2026
Goals of Care Transitions following Postoperative UndertriageTyler J Loftus, Matthew M Ruppert, Die Hu, et al.
Annals of Surgery|June 3, 2020
Metabolomic Profiling for Diagnosis and Prognostication in Surgery: A Scoping ReviewTabassum A Khan, Tyler J Loftus, Amanda C Filiberto, et al.
Critical Care Explorations|June 24, 2025
Surgical ICU Admission Criteria: A Scoping ReviewKenneth L Abbott, Philip Hong, Matthew M Ruppert, et al.
Scientific Reports|April 10, 2024
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signaturesYuanfang Ren, Yanjun Li, Tyler J Loftus, et al.
JMIR Medical Informatics|November 6, 2024
Electronic Health Record Data Quality and Performance Assessments: Scoping ReviewYordan P Penev, Timothy R Buchanan, Matthew M Ruppert, et al.
Physiological Measurement|January 19, 2023
Building an automated, machine learning-enabled platform for predicting post-operative complicationsJeremy A Balch, Matthew M Ruppert, Benjamin Shickel, et al.
Digital Health|November 3, 2022
Federated learning for preserving data privacy in collaborative healthcare researchTyler J Loftus, Matthew M Ruppert, Benjamin Shickel, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Surgery|June 14, 2023
A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patientsEsra Adiyeke, Yuanfang Ren, Matthew M Ruppert, et al.
JMIR Medical Informatics|August 30, 2023
Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping ReviewJeremy A Balch, Matthew M Ruppert, Tyler J Loftus, et al.
The Journal of Trauma and Acute Care Surgery|February 2, 2023
Retrospective value assessment of a dedicated, trauma hybrid operating roomJeremy A Balch, Tyler J Loftus, Matthew M Ruppert, et al.
Journal of the American College of Surgeons|January 20, 2026
Goals of Care Transitions following Postoperative UndertriageTyler J Loftus, Matthew M Ruppert, Die Hu, et al.
Annals of Surgery|June 3, 2020
Metabolomic Profiling for Diagnosis and Prognostication in Surgery: A Scoping ReviewTabassum A Khan, Tyler J Loftus, Amanda C Filiberto, et al.
Critical Care Explorations|June 24, 2025
Surgical ICU Admission Criteria: A Scoping ReviewKenneth L Abbott, Philip Hong, Matthew M Ruppert, et al.
Scientific Reports|April 10, 2024
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signaturesYuanfang Ren, Yanjun Li, Tyler J Loftus, et al.
JMIR Medical Informatics|November 6, 2024
Electronic Health Record Data Quality and Performance Assessments: Scoping ReviewYordan P Penev, Timothy R Buchanan, Matthew M Ruppert, et al.
Physiological Measurement|January 19, 2023
Building an automated, machine learning-enabled platform for predicting post-operative complicationsJeremy A Balch, Matthew M Ruppert, Benjamin Shickel, et al.
Digital Health|November 3, 2022
Federated learning for preserving data privacy in collaborative healthcare researchTyler J Loftus, Matthew M Ruppert, Benjamin Shickel, et al.
Pageof 4