Dataset for validation of a machine learning tool to improve lymph node staging with FDG-PET/CT

This upload provides Open Data associated with the publication "Independent validation of a machine learning tool for predicting mediastinal lymph node metastases in non‑small cell lung cancer using routinely obtainable [18F]FDG‑PET/CT parameters" by Rogasch JMM et al. (2025). The upload contains the anonymized dataset with 10 features necessary to run the final GBM model that was validated in the publication. The dataset publication for the previous publication on the training of the model can be found here: https://doi.org/10.5281/zenodo.7094286. Besides the dataset, this upload provides the original python scripts that were used as well as their output. A description of all files can be found in "content_description_2025_09_13.txt".本上传资源提供了与Rogasch JMM等人（2025年）发表的论文《利用常规可获取的[18F]FDG-PET/CT参数预测非小细胞肺癌纵隔淋巴结转移的机器学习工具的独立验证》相关的开放数据。 本上传包包含匿名化数据集，该数据集包含运行该论文中验证过的最终梯度提升树（Gradient Boosting Machine，GBM）模型所需的10个特征。 该模型训练相关的既往研究所对应的数据集已发布，可通过以下链接获取：https://doi.org/10.5281/zenodo.7094286。 除数据集外，本上传资源还提供了所用的原始Python脚本及其运行输出结果。 所有文件的详细说明可参见"content_description_2025_09_13.txt"。