Development and validation of a predictive model for feeding intolerance in intensive care unit patients with sepsis
Conclusions: The new prediction model based on deep learning can effectively predict enteral feeding intolerance in intensive care unit patients with sepsis. Simple clinical information such as infection site, nutrient type, and septic shock can be useful in stratifying a septic patient's risk of EN intolerance.
Source: The Saudi Journal of Gastroenterology - Category: Gastroenterology Authors: Kunlin Hu Xin lei Deng Lin Han Shulin Xiang Bin Xiong Liao Pinhu Source Type: research
More News: Gastroenterology | Intensive Care | Learning | Middle East Health | Nutrition | Respiratory Medicine | Saudi Arabia Health | Septic Shock | Study | Training | Universities & Medical Training