风险校正CUSUM控制图在肩外科医学信息监测中的应用

J. Chiu, Ziwen Chen, Hung-Hao Tsai
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引用次数: 2

摘要

在医学中,微小的变化或变化可能会影响最终结果。由于每个病人都不一样,他们会带来不同的风险,这将影响医生在手术中的表现。本研究采用Logistic模型和Cox模型进行绩效比较。通过仿真分析方法,我们发现Cox模型可以快速发现患者的异常情况。因此,使用这种方法,医生可以更早地发现患者的异常情况。
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Applying of risk-adjusted CUSUM control chart monitoring of medical information in shoulder surgery study
In the medical, small shifts or changes that occur can to affect the final results. Since each patient is different, they pose different risks that will affect the doctor's performance during surgery. This study is uses the Logistic model and the Cox model to compare performance. From the simulation Analysis method, we found that the Cox model can quickly find the patient's abnormal conditions. Thus, using this method doctors can make earlier detection of patients with abnormal conditions.
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