Net Reclassification Improvement
Net Reclassification Improvement is a scholarly work by Michael D Maile, published in 2016 in ''Anesthesia & Analgesia''. The main subjects of the publication include data mining, data envelopment analysis, computer science, artificial intelligence, project management estimation, machine learning, overfitting, statistics, and simplicity. When adding new markers to existing prediction models, it is necessary to evaluate the models to determine whether the additional markers are useful.