Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model
This study aims to build an accurate and interpretable machine learning model capable of adolescent idiopathic scoliosis prognostication. A tree-based gradient boosting machine is incorporated with a recently proposed Shapley-value-based explanation method-TreeExplainer. Anthropometric training data...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Array |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590005625000827 |
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