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本文基于串联的联合诊断形式,联合应用信息分析与最大似然法对卵巢囊肿进行早期鉴别诊断,并在对两种方法的真实性和可靠性做过评价后,应用Delphi7.0程序开发软件对两种方法在卵巢囊肿鉴别诊断上的应用实施软件开发。结果显示两种方法的准确性中等,一致性较好;串联形式的联合诊断提高了诊断的特异度,弥补了单一诊断方法的不足;开发的软件使得临床医生无需掌握复杂的统计学理论和方法,只需通过简单的软件操作,即可方便、高效地完成门诊的辅助诊断。
This article is based on the series of joint diagnosis, the joint application of information analysis and maximum likelihood method for early differential diagnosis of ovarian cysts, and in the two methods after the authenticity and reliability have been evaluated, the application of Delphi7.0 software development program Two methods in the differential diagnosis of ovarian cysts on the implementation of software development. The results show that the accuracy of the two methods is good and consistent; the combined diagnosis in series improves the specificity of diagnosis and makes up for the deficiency of single diagnosis; and the software developed makes it unnecessary for clinicians to master complicated statistical theory and methods , Just through a simple software operation, you can easily and efficiently complete outpatient auxiliary diagnosis.