Interpretable Fine-Gray Deep Survival Model for Competing Risks: Predicting Post-Discharge Foot Complications for Diabetic Patients in Ontario

Explore CRISPNAM-FG, an interpretable deep survival model designed to predict diabetic complications by decomposing competing risks using Neural Additive Mod...

Level: advanced

By Dhanesh Ramachandram, Anne Loefler, Surain Roberts, Amol Verma, Maia Norman, Fahad Razak, Conrad Pow, Charles de Mestral

Category: research