Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features

Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features

ObjectiveLung cancer—with its global prevalence and critical need for early diagnosis and treatment—is the focus of our study. This study aimed to develop a nomogram based on acoustic–clinical features—a tool that could significantly enhance the clinical prediction of lung cancer.MethodsWe reviewed...

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Bibliographic Details
Main Authors: Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Medicine
Subjects:
acoustic diagnosis
lung cancer
nomogram
machine learning
lasso regression algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1507546/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1507546/full

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