DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis.

ABSTRACT: Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness among clinicians and facilitate timely, protective interventions. While the application of predictive analytics in ICU patients has shown early promising results, much of the work has been encumbered by high false-alarm rates and lack of trust by the end-users due to the 'black box' nature of these models. Here, we present DeepAISE (Deep Artificial Intelligence Sepsis Expert), a recurrent neural survival model for the early prediction of sepsis. DeepAISE automatically learns predictive features related to higher-order interactions and temporal patterns among clinical

SUBMITTER: Shashikumar SP 

PROVIDER: S-EPMC8029104 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature