Analysis of hematological indicators via explainable artificial intelligence in the diagnosis of acute heart failure: a retrospective study

IntroductionAcute heart failure (AHF) is a serious medical problem that necessitates hospitalization and often results in death. Patients hospitalized in the emergency department (ED) should therefore receive an immediate diagnosis and treatment. Unfortunately, there is not yet a fast and accurate l...

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Autori principali:	Rustem Yilmaz, Fatma Hilal Yagin, Cemil Colak, Kenan Toprak, Nagwan Abdel Samee, Noha F. Mahmoud, Amnah Ali Alshahrani
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-03-01
Serie:	Frontiers in Medicine
Soggetti:	acute heart failure XGBoost explainable artificial intelligence SHAP hematological parameters
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1285067/full
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