Administrative Algorithms to identify Avascular necrosis of bone among patients undergoing upper or lower extremity magnetic resonance imaging: a validation study.
Medha BarbhaiyaYan DongJeffrey A SparksElena LosinaKaren H CostenbaderJeffrey N KatzPublished in: BMC musculoskeletal disorders (2017)
An algorithm that uses a single billing code to screen for AVN among those who had MRI has the highest sensitivity and is best suited for studies in which further medical record review confirming AVN is feasible. Algorithms using multiple billing codes are recommended for use in administrative databases when further AVN validation is not feasible.
Keyphrases
- machine learning
- magnetic resonance imaging
- deep learning
- patients undergoing
- contrast enhanced
- big data
- artificial intelligence
- healthcare
- diffusion weighted imaging
- bone mineral density
- computed tomography
- high throughput
- postmenopausal women
- magnetic resonance
- bone regeneration
- body composition
- neural network
- clinical evaluation