Riss P A, Radivojevic K
2. Universitäts-Frauenklinik Wien.
Arch Gynecol Obstet. 1989;245(1-4):1126-8. doi: 10.1007/BF02417719.
We developed a simple menu driven database on personal computer for classification and documentation of vulvar lesions (IBM-PC, dBaseII). Vulvar lesions were classified according to morphologic appearance: red, white, dark, ulcer, small tumor (less than 1 cm), large tumor. The data for each category are entered in multiple choice form and stored in a separate database file. For each category an automated table of the frequencies of the different diagnoses is provided, individual patients and variables can easily be accessed through the database query language.
我们在个人计算机（IBM-PC，dBaseII）上开发了一个简单的菜单驱动数据库，用于对外阴病变进行分类和记录。外阴病变根据形态外观进行分类：红色、白色、深色、溃疡、小肿瘤（小于1厘米）、大肿瘤。每个类别的数据以多项选择的形式输入，并存储在一个单独的数据库文件中。对于每个类别，都会提供不同诊断频率的自动表格，通过数据库查询语言可以轻松访问个体患者和变量。
