Towards a clinical decision protocol for therapeutic plasma exchange based on biomarker patterns and machine learning

Abstract Introduction Therapeutic plasma exchange (TPE) is increasingly used as an adjunctive intervention in severe, hyperinflammatory critical illness, including COVID-19, yet clinical guidance remains syndromic and evidence is heterogeneous. We present an integrated, interpretable machine-learnin...

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主要な著者:	Nicoleta Sgăvârdea, Darian Onchiş, Fabian Galiş, Ciprian Gindac, Mirela Poroşnicu, Adelina Marinescu, Codruţa Istin, Voichiţa Lăzureanu
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2026-04-01
シリーズ:	BMC Medical Informatics and Decision Making
主題:	Therapeutic plasma exchange COVID Machine learning Decision tree Apriori Interpretability
オンライン･アクセス:	https://doi.org/10.1186/s12911-026-03484-3
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