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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Main Authors:	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
מחברים אחרים:	PERFORM consortium
פורמט:	Journal article
שפה:	English
יצא לאור:	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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