Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data

Chen, Chien-Hua; Hsieh, Jer-Guang; Cheng, Shu-Ling; Lin, Yih-Lon; Lin, Po-Hsiang; Jeng, Jyh-Horng

doi:10.1016/j.ijmedinf.2020.104146

Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data

Background Emergency department (ED) overcrowding has been a serious issue and demands effective clinical decision-making of patient disposition. In previous studies, emergency clinical narratives provide a rich context for clinical decisions. We aimed to develop the disposition prediction model …