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

P Veldkamp

Showing results (21-30 of 24) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 24 results.
Applied Psychological Measurement|July 3, 2018
Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!Muirne C S Paap, Karel A Kroeze, Cees A W Glas, et al.
Frontiers in Psychiatry|January 3, 2022
Analysis of the Emails From the Dutch Web-Based Intervention "Alcohol de Baas": Assessment of Early Indications of Drop-Out in an Online Alcohol Abuse InterventionWouter A C Smink, Anneke M Sools, Marloes G Postel, et al.
International Journal of Medical Informatics|August 21, 2024
Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-conceptS H Garssen, C A Vernooij, N Kant, et al.
Biomedical Physics & Engineering Express|March 23, 2026
Detecting early signs of patient deterioration at home using wearable sensors: a personalized anomaly detection approachSjoerd Herman Garssen, Sandra F Oude Wesselink, Sonja Babac, et al.
Pageof 3

Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
Applied Psychological Measurement|July 3, 2018
Measuring Patient-Reported Outcomes Adaptively: Multidimensionality Matters!Muirne C S Paap, Karel A Kroeze, Cees A W Glas, et al.
Frontiers in Psychiatry|January 3, 2022
Analysis of the Emails From the Dutch Web-Based Intervention "Alcohol de Baas": Assessment of Early Indications of Drop-Out in an Online Alcohol Abuse InterventionWouter A C Smink, Anneke M Sools, Marloes G Postel, et al.
International Journal of Medical Informatics|August 21, 2024
Predicting whether patients in an acute medical unit are physiologically fit-for-discharge using machine learning: A proof-of-conceptS H Garssen, C A Vernooij, N Kant, et al.
Biomedical Physics & Engineering Express|March 23, 2026
Detecting early signs of patient deterioration at home using wearable sensors: a personalized anomaly detection approachSjoerd Herman Garssen, Sandra F Oude Wesselink, Sonja Babac, et al.
Pageof 3