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>&nbsp;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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書誌詳細
主要な著者: 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
その他の著者: PERFORM consortium
フォーマット: Journal article
言語:English
出版事項: Elsevier 2023