Ontology highlight
ABSTRACT:
SUBMITTER: Goh KH
PROVIDER: S-EPMC7846756 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Goh Kim Huat KH Wang Le L Yeow Adrian Yong Kwang AYK Poh Hermione H Li Ke K Yeow Joannas Jie Lin JJL Tan Gamaliel Yu Heng GYH
Nature communications 20210129 1
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is critical in reducing mortality, is challenging as many of its signs and symptoms are similar to other less critical conditions. We develop an artificial intelligence algorithm, SERA algorithm, which uses both structured data and unstructured clinical notes to predict and diagnose sepsis. We test this algorithm with independent, clinical notes and achieve high predictive accuracy 12 hours before th ...[more]