医学研究中经常要遇到数据处理及统计分析等问题,由于生物现象的复杂性和多变性,因此医学科研资料的特点往往是数据多,涉及到的因素及其交互影响复杂,而且波动性大等等。以往由于受到计算工具的限制,多半只能采用一些比较简单的统计处理方法,不能充分挖掘资料中所蕴藏着的丰富信息,且有时不免失真,以致难于深入了解机体中一些错综复杂的内在联系和变化规律,以及机体和外环境之间的相互影响。自电子计算机问世以来,由于它具有运算速度快,存储容量大,计算精度高,而且能自动连续地进行工作等特点,因此在医学中逐步获得了广泛的 Medical research often encounters problems such as data processing and statistical analysis. Due to the complexity and variability of biological phenomena, the features of medical scientific research data are often many data, and the factors and interactions involved are complex and volatile. and many more. In the past, due to the limitations of computing tools, most of them could only adopt some relatively simple statistical processing methods, and could not fully tap the abundant information contained in the data, and sometimes they were inevitably distorted, making it difficult to deeply understand some intricate internal connections and changes in the organism. Laws, and interactions between the body and the external environment. Since the advent of electronic computers, because of its features such as fast operation speed, large storage capacity, high calculation accuracy, and ability to automatically and continuously perform work, it has gradually gained wide range of medical applications.