Early predicting 30-day mortality in sepsis in MIMIC-III by an artificial neural networks model

Abstract Objective Early identifying sepsis patients who had higher risk of poor prognosis was extremely important. The aim of this study was to develop an artificial neural networks (ANN) model for early predicting clinical outcomes in sepsis. Methods This study was a retrospective design. Sepsis p...

Full description

Bibliographic Details
Main Authors: Yingjie Su, Cuirong Guo, Shifang Zhou, Changluo Li, Ning Ding
Format: Article
Language:English
Published: BMC 2022-12-01
Series:European Journal of Medical Research
Subjects:
Online Access:https://doi.org/10.1186/s40001-022-00925-3