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Efficient clinical data analysis for prediction of coal workers' pneumoconiosis using machine learning algorithms

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 December 2...

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Detalles Bibliográficos
Autores principales:	Dong, Hantian, Zhu, Biaokai, Kong, Xiaomei, Zhang, Xinri
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2023
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363790/ https://www.ncbi.nlm.nih.gov/pubmed/37380332 http://dx.doi.org/10.1111/crj.13657

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