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

Mads Lause Mogensen

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
ERJ Open Research|January 21, 2026
Transforming post-acute pneumonia management: risk stratification using machine learningCatia Cilloniz, Mads Lause Mogensen, Logan Ward
Scientific Reports|July 2, 2025
Machine learning to improve predictive performance of prehospital early warning scoresLogan Morgan Ward, Tim Alex Lindskou, Mads Lause Mogensen, et al.
JAMA Network Open|August 9, 2023
Prehospital Early Warning Scores to Predict Mortality in Patients Using AmbulancesTim Alex Lindskou, Logan Morgan Ward, Morten Breinholt Søvsø, et al.
Journal of Diabetes Science and Technology|February 11, 2010
A physiological model of the effect of hypoglycemia on plasma potassiumToke Folke Christensen, Martin Baekgaard, Jacob Lund Dideriksen, et al.
Chest|July 19, 2022
Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia: Development and Validation StudyCatia Cilloniz, Logan Ward, Mads Lause Mogensen, et al.
Clinical Epidemiology|August 5, 2024
Emergency Call versus General Practitioner Requested Ambulances - Patient Mortality, Disease Severity and PatternMorten Breinholt Søvsø, Rasmine Birch Haurum, Trine Hagelskær Ebbesen, et al.
Scientific Reports|July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records dataJohn Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
BMJ Quality & Safety|February 8, 2020
Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records dataJohn Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
ERJ Open Research|January 21, 2026
Transforming post-acute pneumonia management: risk stratification using machine learningCatia Cilloniz, Mads Lause Mogensen, Logan Ward
Scientific Reports|July 2, 2025
Machine learning to improve predictive performance of prehospital early warning scoresLogan Morgan Ward, Tim Alex Lindskou, Mads Lause Mogensen, et al.
JAMA Network Open|August 9, 2023
Prehospital Early Warning Scores to Predict Mortality in Patients Using AmbulancesTim Alex Lindskou, Logan Morgan Ward, Morten Breinholt Søvsø, et al.
Journal of Diabetes Science and Technology|February 11, 2010
A physiological model of the effect of hypoglycemia on plasma potassiumToke Folke Christensen, Martin Baekgaard, Jacob Lund Dideriksen, et al.
Chest|July 19, 2022
Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia: Development and Validation StudyCatia Cilloniz, Logan Ward, Mads Lause Mogensen, et al.
Clinical Epidemiology|August 5, 2024
Emergency Call versus General Practitioner Requested Ambulances - Patient Mortality, Disease Severity and PatternMorten Breinholt Søvsø, Rasmine Birch Haurum, Trine Hagelskær Ebbesen, et al.
Scientific Reports|July 20, 2023
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records dataJohn Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
BMJ Quality & Safety|February 8, 2020
Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records dataJohn Karlsson Valik, Logan Ward, Hideyuki Tanushi, et al.
Pageof 1