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

Magnus Boman

Showing results (1-10 of 24) with videos related to

Pageof 3
Sort By:
BMJ (Clinical Research Ed.)|December 5, 2008
Commentary: the joy of meshMagnus Boman
Global Health Action|August 26, 2017
Supporting global health goals with information and communications technologyMagnus Boman, Erik Kruse
Journal of Internal Medicine|April 15, 2022
Predictive models for clinical decision making: Deep dives in practical machine learningSandra Eloranta, Magnus Boman
Frontiers in Public Health|January 23, 2025
Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in MexicoRosario Silva Sepulveda, Magnus Boman
Medical Teacher|December 11, 2025
Scaffolding for success: Blending learning with and about Generative AI in medical educationMagnus Boman, Paul Jhun, Mike Schaekermann
Peerj. Computer Science|January 17, 2022
Comparing supervised and unsupervised approaches to multimodal emotion recognitionMarcos Fernández Carbonell, Magnus Boman, Petri Laukka
Frontiers in Psychology|December 7, 2020
Toward Learning Machines at a Mother and Baby UnitMagnus Boman, Johnny Downs, Abubakrelsedik Karali, et al.
Scientific Reports|September 12, 2025
Machine learning prediction models for mode of delivery in prolonged pregnancies in SwedenStefanie Schmauder, Anna Sandström, Magnus Boman, et al.
Internet Interventions|September 23, 2024
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBTNils Hentati Isacsson, Kirsten Zantvoort, Erik Forsell, et al.
Communications Medicine|October 9, 2024
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapyNils Hentati Isacsson, Fehmi Ben Abdesslem, Erik Forsell, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
BMJ (Clinical Research Ed.)|December 5, 2008
Commentary: the joy of meshMagnus Boman
Global Health Action|August 26, 2017
Supporting global health goals with information and communications technologyMagnus Boman, Erik Kruse
Journal of Internal Medicine|April 15, 2022
Predictive models for clinical decision making: Deep dives in practical machine learningSandra Eloranta, Magnus Boman
Frontiers in Public Health|January 23, 2025
Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in MexicoRosario Silva Sepulveda, Magnus Boman
Medical Teacher|December 11, 2025
Scaffolding for success: Blending learning with and about Generative AI in medical educationMagnus Boman, Paul Jhun, Mike Schaekermann
Peerj. Computer Science|January 17, 2022
Comparing supervised and unsupervised approaches to multimodal emotion recognitionMarcos Fernández Carbonell, Magnus Boman, Petri Laukka
Frontiers in Psychology|December 7, 2020
Toward Learning Machines at a Mother and Baby UnitMagnus Boman, Johnny Downs, Abubakrelsedik Karali, et al.
Scientific Reports|September 12, 2025
Machine learning prediction models for mode of delivery in prolonged pregnancies in SwedenStefanie Schmauder, Anna Sandström, Magnus Boman, et al.
Internet Interventions|September 23, 2024
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBTNils Hentati Isacsson, Kirsten Zantvoort, Erik Forsell, et al.
Communications Medicine|October 9, 2024
Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapyNils Hentati Isacsson, Fehmi Ben Abdesslem, Erik Forsell, et al.
Pageof 3