Machine learning prediction of coal workers’ pneumoconiosis classification based on few-shot clinical data
Objective Aiming at the problems of the long incubation period, insufficient early diagnosis, and lack of treatment methods of coal workers’ pneumoconiosis (CWP), the objective of this study is to accurately predict the CWP staging based on machine learning (ML) methods and small-sample clinical dat...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-07-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251359498 |
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