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Beyond Black Boxes: Interpretable AI with Explainable Neural Networks (ENNs) for Acute Myocardial Infarction (AMI) Using Common Hematological Parameters.

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第一作者： Zeynep,Kucukakcali

第一单位： Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, 44280 Malatya, Turkey.

作者： Zeynep,Kucukakcali ^[1] ; Ipek,Balikci Cicek ^[1]

作者单位： Department of Biostatistics and Medical Informatics, Faculty of Medicine, Inonu University, 44280 Malatya, Turkey. ^[1]

关键词 Explainable Neural Network (ENN)SHAP acute myocardial infarction (AMI)hematological biomarkers interpretability machine learning precision medicine

医学主题词人类(Humans);心肌梗死(Myocardial Infarction);女(雌)性(Female);男(雄)性(Male);中年人(Middle Aged);老年人(Aged);血液学试验(Hematologic Tests);ROC曲线(ROC Curve)

DOI 10.3390/medicina61091552

PMID 41010943

发布时间 2025-09-30

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Medicina (Kaunas, Lithuania)

2025年61卷9期

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Beyond Black Boxes: Interpretable AI with Explainable Neural Networks (ENNs) for Acute Myocardial Infarction (AMI) Using Common Hematological Parameters.

Medicina (Kaunas, Lithuania)

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Beyond Black Boxes: Interpretable AI with Explainable Neural Networks (ENNs) for Acute Myocardial Infarction (AMI) Using Common Hematological Parameters.

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