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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Hlavní autoři:	Rustem Yilmaz, Fatma Hilal Yagin, Cemil Colak, Kenan Toprak, Nagwan Abdel Samee, Noha F. Mahmoud, Amnah Ali Alshahrani
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2024-03-01
Edice:	Frontiers in Medicine
Témata:	acute heart failure XGBoost explainable artificial intelligence SHAP hematological parameters
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1285067/full
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