医学
列线图
冲程(发动机)
物理医学与康复
睡眠(系统调用)
物理疗法
内科学
计算机科学
机械工程
操作系统
工程类
作者
Yinyin Fan,Xueni Yang,Meng Sun,Xing Chen,Yanqing Li,Xiuqun Xu
标识
DOI:10.1016/j.clineuro.2024.108612
摘要
Precisely identifying high-risk sleep disorder patients and implementing suitable measures are important for decreasing the incidence of sleep disorders. In this study, a nomogram method was adopted to construct a tool to predict sleep disorders in stroke based on four factors: individual characteristics, treatment-related factors, psychological factors, and family-related factors.
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