Article
Diagnostic host gene signature to accurately distinguish enteric fever from other febrile diseases
2018-05-21
Abstract excerpt
<h4>ABSTRACT</h4> Misdiagnosis of enteric fever is a major global health problem resulting in patient mismanagement, antimicrobial misuse and inaccurate disease burden estimates. Applying a machine-learning algorithm to host gene expression profiles, we identified a diagnostic signature which could accurately distinguish culture-confirmed enteric fever cases from other febrile illnesses (AUROC<95%). Applying this...
Topics
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- Antimicrobial Resistance in Staphylococcus
- Bacterial Identification and Susceptibility Testing
- Escherichia coli research studies
- Genomics and Phylogenetic Studies
- Salmonella and Campylobacter epidemiology
- Sepsis Diagnosis and Treatment
- Tuberculosis Research and Epidemiology
- Viral gastroenteritis research and epidemiology
Identifiers and source
- Literature Corpus work
- 14e3495c-60c6-5332-870c-25989d6e1209
- DOI
- 10.1101/327429
