Machine learning for the prediction of sepsis-related death: a systematic review and meta-analysis.

ABSTRACT:

Background and objectives

Sepsis is accompanied by a considerably high risk of mortality in the short term, despite the availability of recommended mortality risk assessment tools. However, these risk assessment tools seem to have limited predictive value. With the gradual integration of machine learning into clinical practice, some researchers have attempted to employ machine learning for early mortality risk prediction in sepsis patients. Nevertheless, there is a lack of comprehensive understanding regarding the construction of predictive variables using machine learning and the value of various machine learning methods. Thus, we carried out this systematic review and meta-analysis to explore the predictive value of machine learning for sepsis-related death at different time poin

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10712076 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature