Online interpretable dynamic prediction models for postoperative delirium after cardiac surgery under cardiopulmonary bypass developed based on machine learning algorithms: A retrospective cohort study

待确认 10 由 yoyo 发布于 2024/11/6 10:39:48

DOI:10.1016/j.jpsychores.2023.111553
作者：Xiuxiu Zhao , Junlin Li , Xianhai Xie , Zhaojing Fang , Yue Feng , Yi Zhong , Chen Chen , Kaizong Huang , Chun Ge , Hongwei Shi , Yanna Si , Jian
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：ObjectivePostoperative delirium (POD) is strongly associated with poor early and long-term prognosis in cardiac surgery patients with cardiopulmonary bypass (CPB). This study aimed to develo

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

5小时前

追杀

7cf479aa9be811efa88d34735aa3bc31.pdf

5小时前

Book学术机器人

2024/11/6 10:39:48 未找到该文献，机器人已退出，请等待人工下载

2024/11/6 10:39:48 Book学术AI机器人收到请求，开始寻找文献

2024/11/6 10:39:48 已向机器人发送请求

5小时前

yoyo 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierAtomic-scale revelation of Cu diffusion mechanism in high-performance Pr-doped 2:17-type SmCo magnets