[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-118558-en":3,"doc-seo-118558-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},118558,13056703019662,"Evangeline","https://ap-avatar.wpscdn.com/avatar/be000253a8e92610077?_k=1778726343310543188",8,"Research & Report","Predicting Anterior Cruciate Ligament Reconstruction Outcome - Machine Learning Analysis of National Knee Ligament Registries","The dissertation from the Norwegian School of Sport Sciences examines how machine learning can predict outcomes after anterior cruciate ligament (ACL) reconstruction using national knee ligament registry data. It develops supervised prediction models across multiple studies, addressing patient selection, data preparation, missing data handling, model performance evaluation, and external validation using Danish and international datasets. A sixth study extends the approach with combined unsupervised learning to derive additional outcome-related patterns and evaluates model outputs to support clinically relevant risk prediction.","R . Ky le Martin // Pred icting Anterior Cruciate L igament Reconstruction Outcome  \nDISSERTATION FROM THE NORWEGIAN SCHOOL OF SPORT SCIENCES  \n2025  \nR. Kyle Martin  \nPredicting Anterior Cruciate Ligament Reconstruction Outcome  \nMachine Learning Analysis of National Knee Ligament Registries  \nR. Kyle Martin  \nPredicting Anterior Cruciate Ligament Reconstruction Outcome  \nMachine Learning Analysis of National Knee Ligament Registries  \nDISSERTATION FROM THE NORWEGIAN SCHOOL OF SPORT SCIENCES • 2025  \nISBN 978-82-502-0634-2  \nFor my Nan, who instilled in me the importance of empathy and a good bedside manner.  \nTable of Contents  \nAcknowledgements ............................................................................................................. I  \nList of Papers .................................................................................................................... III  \nAbbreviations ..................................................................................................................... IV  \nList of Figures..................................................................................................................... V  \nList of Tables ................................................................................................................... VII  \nSummary ......................................................................................................................... VIII  \nIntroduction ........................................................................................................................ 11  \nBackground ............................................................................................................................................. 11  \nThe Challenge with Anterior Cruciate Ligament Reconstruction Outcome Prediction ............ 12  \nMachine Learning for Outcome Prediction....................................................................................... 15  \nMachine Learning and National Registries to Predict ACL Reconstruction Outcome .............. 18  \nSpecific Aims of the Dissertation .......................................................................................21  \nMaterials and Methods ...................................................................................................... 22  \nEthics ....................................................................................................................................................... 22  \nGeneral Comments................................................................................................................................ 22  \nPrediction Model Development (Papers I-III) .................................................................................23  \nPatient Population ............................................................................................................................. 23  \nData Preparation ................................................................................................................................ 24  \nMachine Learning Analysis .............................................................................................................. 26  \nMissing Data ....................................................................................................................................... 28  \nModel Performance Evaluation ...................................................................................................... 29  \nExternal Validation (Papers IV and V)............................................................................................... 30  \nPatient Population ............................................................................................................................. 30  \nData Preparation ................................................................................................................................ 31  \nMissing Data ................................","cbCailUYNKtZ4OCM","https://ap.wps.com/l/cbCailUYNKtZ4OCM","pdf",13620609,1,196,"English","en",105,"# Summary\n# Introduction\n## Background\n## The Challenge with Anterior Cruciate Ligament Reconstruction Outcome Prediction\n## Machine Learning for Outcome Prediction\n## Machine Learning and National Registries to Predict ACL Reconstruction Outcome\n# Specific Aims of the Dissertation\n# Materials and Methods\n## Ethics\n## General Comments\n## Prediction Model Development (Papers I-III)\n## External Validation (Papers IV and V)\n## Unsupervised Learning (Paper VI)\n# Results\n## Paper I – Norwegian Revision Risk Prediction\n## Paper II – Norwegian Inferior Patient Reported Outcome Risk Prediction\n## Paper III – Combined Norwegian and Danish Revision Risk Prediction\n## Paper IV – External Validation Using the Danish Registry\n## Paper V – External Validation Using the STABILITY I Patients\n## Paper VI – Combined Norwegian and Danish Unsupervised Machine Learning Analysis\n# Discussion\n## Prediction Model Development (Papers I-III)\n## Main Findings","[{\"question\":\"What problem does this dissertation address?\",\"answer\":\"It focuses on predicting outcomes after anterior cruciate ligament (ACL) reconstruction and the challenge of accurately forecasting revision risk and inferior patient-reported outcomes.\"},{\"question\":\"How is machine learning used in the study?\",\"answer\":\"Machine learning is applied to develop supervised prediction models using registry data, followed by performance evaluation and external validation on separate cohorts.\"},{\"question\":\"What additional approach is included beyond supervised prediction?\",\"answer\":\"The dissertation includes an unsupervised learning study that combines Norwegian and Danish data to uncover outcome-related structure in the registry information.\"}]","Predicting Anterior Cruciate Ligament Reconstruction Outcome - 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