Blar i Brage NIH på forfatter "Martin, Richard Kyle"
-
Injuries in elite women's ski jumping: Surveillance through the 2017-18 FIS World Cup season
Stenseth, Oleane Marthea Rebne; Barli, Sindre Fløtlien; Martin, Richard Kyle; Engebretsen, Lars (Peer reviewed; Journal article, 2019)Objectives: To describe the incidence, type, aetiology and severity of injuries sustained by the International Ski Federation World Cup level female ski jumpers during the 2017–18 season. Design: Prospective cohort study. ... -
Machine learning algorithm to predict anterior cruciate ligament revision demonstrates external validity
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Lind, Martin; Engebretsen, Lars (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 anterior cruciate ligament reconstruction revision: A machine learning analysis utilizing the Norwegian knee ligament register
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Engebretsen, Lars (Peer reviewed; Journal article, 2022)Background: Several factors are associated with an increased risk of anterior cruciate ligament (ACL) reconstruction revision. However, the ability to accurately translate these factors into a quantifiable risk of revision ... -
Predicting subjective failure of ACL reconstruction: A machine learning analysis of the Norwegian Knee Ligament Register and patient reported outcomes
Martin, Richard Kyle; Wastvedt, Solvejg; Pareek, Ayoosh; Persson, Andreas; Visnes, Håvard; Fenstad, Anne Marie; Moatshe, Gilbert; Wolfson, Julian; Engebretsen, Lars (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 ...