Intelligent System Using Data to Support Decision-Making

Intelligent System Using Data to Support Decision-Making

Interest in explainable machine learning has grown, particularly in healthcare, where transparency and trust are essential. We developed a semi-automated evaluation framework within a clinical decision support system (CDSS-EQCM) that integrates LIME and SHAP explanations with multi-criteria decision...

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Bibliographic Details
Main Authors: Viera Anderková, František Babič, Zuzana Paraličová, Daniela Javorská
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
machine learning
decision support
explainability
interpretable explanations
multi-criteria decision-making
comprehensibility
Online Access:https://www.mdpi.com/2076-3417/15/14/7724
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