Ontology highlight
ABSTRACT:
SUBMITTER: Boussina A
PROVIDER: S-EPMC10120799 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
Boussina Aaron A Ramesh Karthik K Arora Himanshu H Ratadiya Pratik P Nemati Shamim S
medRxiv : the preprint server for health sciences 20230411
Sepsis is a major cause of morbidity and mortality worldwide, and is caused by bacterial infection in a majority of cases. However, fungal sepsis often carries a higher mortality rate both due to its prevalence in immunocompromised patients as well as delayed recognition. Using chest x-rays, associated radiology reports, and structured patient data from the MIMIC-IV clinical dataset, the authors present a machine learning methodology to differentiate between bacterial, fungal, and viral sepsis. ...[more]