Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study

Deep learning methods are feasible and have the potential for stronger predictive performance compared to conventional model building methods when applied to predicting remission after anti-TNF therapy in CD.