Development of a multi-laboratory integrated predictive model for silicosis utilizing machine learning: a retrospective case-control study

Development of a multi-laboratory integrated predictive model for silicosis utilizing machine learning: a retrospective case-control study

ObjectiveDue to the high global prevalence of silicosis and the ongoing challenges in its diagnosis, this pilot study aims to screen biomarkers from routine blood parameters and develop a multi-biomarker model for its early detection.MethodsA case-control study was conducted to screen biomarkers for...

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Bibliographic Details
Main Authors: Guo-kang Sun, Yun-hui Xiang, Lu Wang, Pin-pin Xiang, Zi-xin Wang, Jing Zhang, Ling Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Public Health
Subjects:
silicosis
early diagnostics
liquid biopsy
biomarkers
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1450439/full
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