Blar i Norges idrettshøgskole på emneord "machine learning"
Viser treff 1-6 av 6
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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 ... -
Performance analysis in ski jumping with a differential global navigation satellite system and video-based pose estimation
(Peer reviewed; Journal article, 2021)This study investigated the explanatory power of a sensor fusion of two complementary methods to explain performance and its underlying mechanisms in ski jumping. A differential Global Navigation Satellite System (dGNSS) ... -
Predicting ACL injury using machine learning on data from an extensive screening test battery of 880 female elite athletes
(Peer reviewed; Journal article, 2022)Background: Injury risk prediction is an emerging field in which more research is needed to recognize the best practices for accurate injury risk assessment. Important issues related to predictive machine learning need to ... -
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 ...