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开发和验证用于预测缺血性中风风险的诺莫格拉姆模型

Li Zhou1, Youlin Wu1,2, Jiani Wang1

  • 1Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.

Journal of personalized medicine
|July 27, 2024
PubMed
概括

一个新的诺莫格拉姆模型有效地利用八个关键因素预测急性缺血性中风风险. 该工具有助于识别高风险的个体,以便更好地进行临床管理和中风预防策略.

关键词:
拉索·拉索 (Lasso) 是一个缺血性中风 中风这个名字是名ogramogram.预测者 预测者 预测者

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