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...

Descripción completa

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

Internet

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

Ejemplares similares