Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms
Abstract Purpose The purpose of this study is to propose an efficient coal workers' pneumoconiosis (CWP) clinical prediction system and put it into clinical use for clinical diagnosis of pneumoconiosis. Methods Patients with CWP and dust‐exposed workers who were enrolled from August 2021 to Dec...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-07-01
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Series: | The Clinical Respiratory Journal |
Subjects: | |
Online Access: | https://doi.org/10.1111/crj.13657 |