本文将Bayesian统计法应用于医学诊断的一个特殊情况中,如高血压的诊断。我们希望这种方法能在医学领域起重要的作用:解释实验数据的医学诊断和优先级的概念(例如这种疾病发生的概率)以诊断错误造成的人、社会、经济上的损失的概念。文中涉及基本型的高压的诊断与五种次级型的高血压的诊断:纤维发育不良性肾动脉狭窄,动脉粥样硬化肾动脉狭窄,Conn氏综合症,肾膀胱疾病和嗜铬细胞瘤等。其中我们只考虑血压、一般的信息 This article applies the Bayesian statistical method in a special case of medical diagnosis, such as the diagnosis of hypertension. We hope this approach will play an important role in medicine: the concept of medical diagnosis and prioritization of experimental data, such as the probability of the occurrence of the disease, to diagnose the concept of human, social, and economic losses as a result of errors. The article deals with the diagnosis of essential hypertension and the diagnosis of five secondary hypertension: impaired renal artery stenosis, atherosclerotic renal artery stenosis, Conn’s syndrome, renal bladder disease and pheochromocytoma . Which we only consider the blood pressure, the general information