Explainable Machine Learning Models for Colorectal Cancer Prediction Using Clinical Laboratory Data
Introduction Early diagnosis of colorectal cancer (CRC) poses a significant clinical challenge. This study aims to develop machine learning (ML) models for CRC risk prediction using clinical laboratory data. Methods This retrospective, single-center study analyzed laboratory examination data from he...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-04-01
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| Series: | Cancer Control |
| Online Access: | https://doi.org/10.1177/10732748251336417 |
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