Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases

Diagnostic host gene signature for distinguishing enteric fever from other febrile diseases

Abstract 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 disting...

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Bibliographic Details
Main Authors: Christoph J Blohmke, Julius Muller, Malick M Gibani, Hazel Dobinson, Sonu Shrestha, Soumya Perinparajah, Celina Jin, Harri Hughes, Luke Blackwell, Sabina Dongol, Abhilasha Karkey, Fernanda Schreiber, Derek Pickard, Buddha Basnyat, Gordon Dougan, Stephen Baker, Andrew J Pollard, Thomas C Darton
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:EMBO Molecular Medicine
Subjects:
biomarker
enteric fever
machine learning
transcriptomics
Online Access:https://doi.org/10.15252/emmm.201910431

Internet

https://doi.org/10.15252/emmm.201910431

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