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

<p><strong>Background:</strong> 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 infe...

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Bibliografski detalji
Glavni autori:	Jackson, HR, Zandstra, J, Menikou, S, Hamilton, MS, McArdle, AJ, Fischer, R, Thorne, AM, Huang, H, Tanck, MW, Jansen, MH, De, T, Agyeman, PKA, Von Both, U, Carrol, ED, Emonts, M, Eleftheriou, I, Van der Flier, M, Fink, C, Gloerich, J, De Groot, R, Moll, HA, Pokorn, M, Pollard, AJ, Schlapbach, LJ, Tsolia, MN, Usuf, E, Wright, VJ, Yeung, S, Zavadska, D, Zenz, W, Coin, LJM, Casals-Pascual, C, Cunnington, AJ, Martinon-Torres, F, Herberg, JA, de Jonge, MI, Levin, M, Kuijpers, TW, Kaforou, M
Daljnji autori:	PERFORM consortium
Format:	Journal article
Jezik:	English
Izdano:	Elsevier 2023

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

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