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

Gregory B Rehm

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

Pageof 1
Sort By:
Studies in Health Technology and Informatics|August 24, 2019
Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator ModeGregory B Rehm, Brooks T Kuhn, Jimmy Nguyen, et al.
Journal of Clinical and Translational Science|May 5, 2021
A novel system to collect dual pulse oximetry data for critical congenital heart disease screening researchKavish Doshi, Gregory B Rehm, Pranjali Vadlaputi, et al.
Methods of Information in Medicine|March 29, 2019
Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator AsynchronyGregory B Rehm, Jinyoung Han, Brooks T Kuhn, et al.
Journal of the American Medical Informatics Association : JAMIA|November 2, 2017
Development of a research-oriented system for collecting mechanical ventilator waveform dataGregory B Rehm, Brooks T Kuhn, Jean-Pierre Delplanque, et al.
IEEE Pervasive Computing|August 6, 2020
Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care UnitGregory B Rehm, Sang Hoon Woo, Xin Luigi Chen, et al.
Critical Care Explorations|January 18, 2021
Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform DataGregory B Rehm, Irene Cortés-Puch, Brooks T Kuhn, et al.
Pageof 1

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

Sort By:
Pageof 1
Studies in Health Technology and Informatics|August 24, 2019
Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator ModeGregory B Rehm, Brooks T Kuhn, Jimmy Nguyen, et al.
Journal of Clinical and Translational Science|May 5, 2021
A novel system to collect dual pulse oximetry data for critical congenital heart disease screening researchKavish Doshi, Gregory B Rehm, Pranjali Vadlaputi, et al.
Methods of Information in Medicine|March 29, 2019
Creation of a Robust and Generalizable Machine Learning Classifier for Patient Ventilator AsynchronyGregory B Rehm, Jinyoung Han, Brooks T Kuhn, et al.
Journal of the American Medical Informatics Association : JAMIA|November 2, 2017
Development of a research-oriented system for collecting mechanical ventilator waveform dataGregory B Rehm, Brooks T Kuhn, Jean-Pierre Delplanque, et al.
IEEE Pervasive Computing|August 6, 2020
Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care UnitGregory B Rehm, Sang Hoon Woo, Xin Luigi Chen, et al.
Critical Care Explorations|January 18, 2021
Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform DataGregory B Rehm, Irene Cortés-Puch, Brooks T Kuhn, et al.
Pageof 1