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Using Bayesian theorem to calculate the probability of appendicitis model, using Java language to complete the graphical interface.

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运用贝叶斯定理的阑尾炎模型

典型的阑尾炎病人发病时往往由腹痛开始,病痛渐渐转移至右下腹,可伴有恶心呕吐,检查时腹部肌肉紧张,有压痛和反跳痛; 多数病人体温升高,白细胞计数高于正常范围,等等。对这类病人往往要鉴别是急性阑尾炎、慢性阑尾炎或阑尾穿孔。 设A1,A2,A3表示急性、慢性和阑尾穿孔三种互不相容的情形,B表示患者的征候。进行鉴别诊断就是求出在条件征候B存在的情况下患病Ai(i=1,2,3)的概率, 也就是后验概率,用公式表示为:根据其中最大的后验概率就可判定是急性阑尾炎、慢性阑尾炎还是阑尾穿孔。

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Using Bayesian theorem to calculate the probability of appendicitis model, using Java language to complete the graphical interface.

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