DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care 事件

DeepEN: A Deep Reinforcement Learning Framework for Personalized Enteral Nutrition in Critical Care arXiv:2510.08350v3 Announce Type: replace-cross Abstract: Objective: Enteral nutrition (EN) delivery in the ICU remains suboptimal due to limited personalization and uncertainty regarding appropriate calorie, protein, and fluid targets under dynamic metabolic demands. We introduce DeepEN, a reinforcement learning (RL) framework for personalized EN optimization using electronic health record data.