Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer

Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer

Background and objectiveAccurately predicting the extent of lung tumor infiltration is crucial for improving patient survival and cure rates. This study aims to evaluate the application value of an improved CT index combined with serum biomarkers, obtained through an artificial intelligence recognit...

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Bibliographic Details
Main Authors: Leyuan Meng, Ping Zhu, Kaijian Xia
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Public Health
Subjects:
automated machine learning
predictive models
infiltrative lung cancer
medical image artificial intelligence recognition system (MIARS)
7-TAABs
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2024.1368217/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2024.1368217/full

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