Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model
Background: Liver disease (LD) significantly impacts global health, requiring accurate diagnostic methods. This study aims to develop an automated system for LD prediction using machine learning (ML) and explainable artificial intelligence (XAI), enhancing diagnostic precision and interpretability....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-03-01
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| Series: | Informatics and Health |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949953425000025 |
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