Jianhuang Huang

Development and external validation of a machine learning model based on multimodal dynamic data for predicting shunt-dependent hydrocephalus after aneurysmal subarachnoid hemorrhage: a dual-center retrospective cohort study

Chengzhang Zheng, Jianhuang Huang, Xinguo Wang, Qing Ye, Caihou Lin, Xiang Gu

Objective To develop and externally validate a machine learning model for predicting shunt-dependent hydrocephalus (SDHC) after aneurysmal subarachnoid hemorrhage (aSAH) using multimodal dynamic data. Methods This dual-center retrospective study enrolled aSAH patients from Mindon…Read more