Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules

Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules

Abstract Background Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer. Among them, PNs that remain stable for more than two years or whose pathological results suggest not being lung cancer are considered benign PNs (BPNs), while PNs that conform to the growth...

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Bibliographic Details
Main Authors: Zhi Li, Wenjing Zhang, Jinyi Huang, Ling Lu, Dongming Xie, Jinrong Zhang, Jiamin Liang, Yuepeng Sui, Linyuan Liu, Jianjun Zou, Ao Lin, Lei Yang, Fuman Qiu, Zhaoting Hu, Mei Wu, Yibin Deng, Xin Zhang, Jiachun Lu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Pulmonary nodules
Detection rate
Machine learning
Discriminative analysis
Prediction model
Online Access:https://doi.org/10.1186/s12911-025-03067-8
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