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

Matthieu Komorowski

Showing results (41-50 of 71) with videos related to

Pageof 8
Sort By:
Intensive Care Medicine|May 18, 2026
Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysisDominic C Marshall, Ashleigh D Green, Matthieu Komorowski, et al.
Intensive Care Medicine Experimental|April 30, 2026
Improving retrospective ARDS case-finding using a simple 72-h physiologic persistence ruleDominic C Marshall, Brijesh V Patel, Anthony C Gordon, et al.
Journal of Clinical Medicine|July 9, 2022
Early Intensive Physical Rehabilitation Combined with a Protocolized Decannulation Process in Tracheostomized Survivors from Severe COVID-19 Pneumonia with Chronic Critical IllnessMalcolm Lemyze, Matthieu Komorowski, Jihad Mallat, et al.
Respiratory Research|May 6, 2018
Trends in mortality from pneumonia in the Europe union: a temporal analysis of the European detailed mortality database between 2001 and 2014Dominic C Marshall, Ross J Goodson, Yiwang Xu, et al.
Plos One|November 13, 2018
Improving counterfactual reasoning with kernelised dynamic mixing modelsSonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, et al.
Critical Care Medicine|May 27, 2020
Implications of Obesity for the Management of Severe Coronavirus Disease 2019 PneumoniaMalcolm Lemyze, Nathan Courageux, Thomas Maladobry, et al.
Critical Care (London, England)|May 27, 2024
A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainabilitySherali Bomrah, Mohy Uddin, Umashankar Upadhyay, et al.
British Journal of Anaesthesia|April 18, 2024
Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative reviewMayur Murali, Melody Ni, Dan S Karbing, et al.
NPJ Digital Medicine|February 6, 2025
Challenges with reinforcement learning model transportability for sepsis treatment in emergency carePeter C Nauka, Jason N Kennedy, Emily B Brant, 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 8

Showing results (41-50 of 71) with videos related to

Sort By:
Pageof 8
Intensive Care Medicine|May 18, 2026
Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysisDominic C Marshall, Ashleigh D Green, Matthieu Komorowski, et al.
Intensive Care Medicine Experimental|April 30, 2026
Improving retrospective ARDS case-finding using a simple 72-h physiologic persistence ruleDominic C Marshall, Brijesh V Patel, Anthony C Gordon, et al.
Journal of Clinical Medicine|July 9, 2022
Early Intensive Physical Rehabilitation Combined with a Protocolized Decannulation Process in Tracheostomized Survivors from Severe COVID-19 Pneumonia with Chronic Critical IllnessMalcolm Lemyze, Matthieu Komorowski, Jihad Mallat, et al.
Respiratory Research|May 6, 2018
Trends in mortality from pneumonia in the Europe union: a temporal analysis of the European detailed mortality database between 2001 and 2014Dominic C Marshall, Ross J Goodson, Yiwang Xu, et al.
Plos One|November 13, 2018
Improving counterfactual reasoning with kernelised dynamic mixing modelsSonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, et al.
Critical Care Medicine|May 27, 2020
Implications of Obesity for the Management of Severe Coronavirus Disease 2019 PneumoniaMalcolm Lemyze, Nathan Courageux, Thomas Maladobry, et al.
Critical Care (London, England)|May 27, 2024
A scoping review of machine learning for sepsis prediction- feature engineering strategies and model performance: a step towards explainabilitySherali Bomrah, Mohy Uddin, Umashankar Upadhyay, et al.
British Journal of Anaesthesia|April 18, 2024
Clinical practice, decision-making, and use of clinical decision support systems in invasive mechanical ventilation: a narrative reviewMayur Murali, Melody Ni, Dan S Karbing, et al.
NPJ Digital Medicine|February 6, 2025
Challenges with reinforcement learning model transportability for sepsis treatment in emergency carePeter C Nauka, Jason N Kennedy, Emily B Brant, 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 8