2026-10-14T15:03:53Z https://www.scidb.cn/oai

10.57760/sciencedb.29971 2026-07-24T17:42:36Z

2026-07-24 Development and Validation of Multiple System Atrophy Assisted Walking Predictive Model doi:10.57760/sciencedb.29971 en This dataset contains clinical features, survival time, and outcome variables of 173 patients with multiple system atrophy (MSA). The data has been desensitized and is suitable for building and validating machine learning prognostic models. Contains variables such as gender, age of onset, UMSARS score, imaging features, survival time (months), and assisted walking status. Provide complete R code to support the replication of models such as Cox, RSF, GBM, LASSO, CoxBoost, Survival SVM, etc.  Multiple system atrophy; prognosis; machine learning; survival analysis; random survival forest; Cox regression bai jing Li Xiaobing Guo Xin Huibo Mu Yaqian Li Wanting Lei Zhang Luo Yaowen Cheng Junkai Li Juan Shang Lei Wang Bo Shi Yan Cao Jingjing Zhang Gejuan Li Rui Bai Ya Liu Xuedong PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank