首页> Scientific reports> Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

导出 LinkOut

翻译打印收藏纠错

第一作者： Andrew,Houston

第一单位： School of Computer Science, Loughborough University, Loughborough, LE11 3TU, UK. A.Houston@lboro.ac.uk.;Academic Department of Military Rehabilitation, Defence Medical Services, Loughborough, LE12 5QW, UK. A.Houston@lboro.ac.uk.

作者： Andrew,Houston ^[1] ; Georgina,Cosma ^[2] ; Phillipa,Turner ^[3] ; Alexander,Bennett ^[4]

作者单位： School of Computer Science, Loughborough University, Loughborough, LE11 3TU, UK. A.Houston@lboro.ac.uk.;Academic Department of Military Rehabilitation, Defence Medical Services, Loughborough, LE12 5QW, UK. A.Houston@lboro.ac.uk. ^[1] School of Computer Science, Loughborough University, Loughborough, LE11 3TU, UK. ^[2] Centre for Lower-Limbs Rehabilitation, Defence Medical Services, Loughborough, LE12 5QW, UK. ^[3] Academic Department of Military Rehabilitation, Defence Medical Services, Loughborough, LE12 5QW, UK.;Imperial College London, National Heart and Lung Institute, London, SW7 2BU, UK.;School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, LE11 3TU, UK. ^[4]