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
其他作者:	PERFORM consortium
格式:	Journal article
语言:	English
出版:	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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