TY  - JOUR 
AU  - Jackson, H.R.
AU  - Zandstra, J.
AU  - Menikou, S.
AU  - Hamilton, M.S.
AU  - McArdle, A.J.
AU  - Fischer, R.
AU  - Thorne, A.M.
AU  - Huang, H.
AU  - Tanck, M.W.
AU  - Jansen, M.H.
AU  - De, T.
AU  - Agyeman, P.K.A.
AU  - Von Both, U.
AU  - Carrol, E.D.
AU  - Emonts, M.
AU  - Eleftheriou, I.
AU  - Van der Flier, M.
AU  - Fink, C.
AU  - Gloerich, J.
AU  - De Groot, R.
AU  - Moll, H.A.
AU  - Pokorn, M.
AU  - Pollard, A.J.
AU  - Schlapbach, L.J.
AU  - Tsolia, M.N.
AU  - Usuf, E.
AU  - Wright, V.J.
AU  - Yeung, S.
AU  - Zavadska, D.
AU  - Zenz, W.
AU  - Coin, L.J.M.
AU  - Casals-Pascual, C.
AU  - Cunnington, A.J.
AU  - Martinón Torres, Federico
AU  - Herberg, J.A.
AU  - de Jonge, M.I.
AU  - Levin, M.
AU  - Kuijpers, T.W.
AU  - Kaforou, M.
PY  - 2023
SN  - 2589-7500
UR  - http://hdl.handle.net/20.500.11940/20985
AB  - BACKGROUND: Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to...
LA  - eng
KW  - Humans
KW  - Child
KW  - Proteomics
KW  - Bacterial Infections
KW  - Biomarkers
KW  - Virus Diseases
KW  - Anti-Bacterial Agents
TI  - A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study
DO  - 10.1016/s2589-7500(23)00149-8
T2  - The Lancet. Digital health
M2  - e774
KW  - AS Santiago
KW  - CHUS
VL  - 5
ER  -