Additional file 1 of Whole-orbit radiomics: machine learning-based multi- and fused- region radiomics signatures for intravenous glucocorticoid response prediction in thyroid eye disease
posted on 2024-01-14, 04:21authored byHaiyang Zhang, Mengda Jiang, Hoi Chi Chan, Huijie Zhang, Jiashuo Xu, Yuting Liu, Ling Zhu, Xiaofeng Tao, Duojin Xia, Lei Zhou, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Xianqun Fan
Additional file 1: Fig. S1. The flowchart of patient enrollment and scheme for analysis. Fig. S2. Performances of SIR models using six machine learning algorithms in the test cohort were evaluated and compared through ROC curves. Table S1. The Rad score formula used in model performance. Table S2. Diagnostic performance of different SRR models.
Funding
National Natural Science Foundation of China Science and Technology Commission of Shanghai Shanghai Key Clinical Specialty, Shanghai Eye Disease Research Center Clinical Acceleration Program of Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine Cross disciplinary Research Fund of Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine