Machine learning prediction of coal workers’ pneumoconiosis classification based on few-shot clinical data

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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Bibliographic Details
Main Authors: Jiaqi Jia, Jingying Huang, Yuming Cui, Dekun Zhang, Haiquan Li, Songquan Wang, Wenlu Hang
Format: Article
Language:English
Published: SAGE Publishing 2025-07-01
Series:Digital Health
Online Access:https://doi.org/10.1177/20552076251359498
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