XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based Approach
XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based Approach
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Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Ensemble Learning (EL) has been used for almost ten years to classify heart diseases, but it is still difficult to grasp how the "black boxes", or non-interpretable models, behave inside. Predicting heart disease is crucial to healthcare, since it allows for prompt diagnosis and treatment of the patient's true state. Nonetheless, it is still diffic...
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XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based Approach
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TN_cdi_doaj_primary_oai_doaj_org_article_add4a20c88de4d2f871d6e0768213b22
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_add4a20c88de4d2f871d6e0768213b22
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ISSN
2306-5354
E-ISSN
2306-5354
DOI
10.3390/bioengineering11101016
