Browsing Norges idrettshøgskole by Subject "artificial intelligence"
Now showing items 1-4 of 4
-
Ceiling Effect of the Combined Norwegian and Danish Knee Ligament Registers Limits Anterior Cruciate Ligament Reconstruction Outcome Prediction
(Peer reviewed; Journal article, 2023)Background: Clinical tools based on machine learning analysis now exist for outcome prediction after primary anterior cruciate ligament reconstruction (ACLR). Relying partly on data volume, the general principle is that ... -
Classification of cross-country ski skating sub-technique can be automated using carrier-phase differential GNSS measurements of the head's position
(Peer reviewed; Journal article, 2021)Position–time tracking of athletes during a race can provide useful information about tactics and performance. However, carrier-phase differential global navigation satellite system (dGNSS)-based tracking, which is accurate ... -
Machine learning algorithm to predict anterior cruciate ligament revision demonstrates external validity
(Peer reviewed; Journal article, 2022)Purpose: External validation of machine learning predictive models is achieved through evaluation of model performance on different groups of patients than were used for algorithm development. This important step is ... -
Predicting subjective failure of ACL reconstruction: A machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes
(Peer reviewed; Journal article, 2022)Objectives: Accurate prediction of outcome following anterior cruciate ligament (ACL) reconstruction is challenging, and machine learning has the potential to improve our predictive capability. The purpose of this study ...