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目的 对周围型肺癌和肺结核球进行计量判别诊断。方法 根据两类病例的症状、体征、化验结果和X线特征 ,建立计量判别诊断模型。结果 回代实验显示计量判别诊断的诊断符合率为 96 .2 % ,明显高于入院诊断正确率 81.2 % (P<0 .0 0 5 )。临床应用诊断符合率为 95 .7%。结论 周围型肺癌和肺结核球的计量判别诊断模型是一种诊断正确率较高的数学模型 ,有推广应用价值 ,特别在缺乏先进医疗设备的基层医院。
Objective To measure the differential diagnosis of peripheral lung cancer and tuberculosis. Methods According to the symptoms, signs, laboratory results and X-ray features of two types of cases, a diagnostic model of metrological diagnosis was established. Results Back-generation experiments showed that the diagnostic coincidence rate of diagnostic measurement was 96.2%, which was significantly higher than that of admission diagnosis 81.2% (P <0.05). The diagnostic accuracy of clinical application was 95.7%. Conclusion The diagnostic model of peripheral lung cancer and tuberculosis is a mathematical model with high diagnostic accuracy, which is of great value in popularization and application, especially in primary hospitals lacking advanced medical equipment.