Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning

Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning

Objective To develop a machine learning model integrating preoperative chest CT radiomic features with clinical data for predicting 5-year postoperative recurrence risk in stage Ⅰ non-small cell lung cancer (NSCLC) patients undergoing surgical resection. Methods A total of 217 patients with patholog...

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Bibliographic Details
Main Authors: ZHANG Di, WU Yi, XU Yu
Format: Article
Language:zho
Published: Editorial Office of Journal of Army Medical University 2025-07-01
Series:陆军军医大学学报
Subjects:
non-small cell lung cancer
machine learning
computed-tomography
stage ⅰ
5-year recurrence risk
Online Access:https://aammt.tmmu.edu.cn/html/202410117.html
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