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Applying of risk-adjusted CUSUM control chart monitoring of medical information in shoulder surgery study

机译:风险调整后的CUSUM控制图监测医学信息在肩部手术研究中的应用

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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.
机译:在医学上,发生的微小变化或变化会影响最终结果。由于每个患者都是不同的,因此他们构成了不同的风险,这些风险会影响手术过程中医生的表现。本研究使用Logistic模型和Cox模型比较性能。从模拟分析方法中,我们发现Cox模型可以快速找到患者的异常状况。因此,使用这种方法,医生可以更早地发现病情异常的患者。

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