Blomberg D J, Guth J L, Fattu J M, Patrick E A
Comput Methods Programs Biomed. 1986 Mar;22(1):119-25. doi: 10.1016/0169-2607(86)90101-x.
Since the advent of electronic particle counting, anemias have customarily been classified by evaluating cell size (MCV) and hemoglobin content (MCH). Recently a new parameter estimating red cell size heterogeneity (the 'red cell distribution width' or 'RDW') has been introduced. We have evaluated a proposed classification of anemias based upon this new parameter in a large group of hospitalized patients utilizing an expert system based upon statistical pattern recognition and compared our results to other studies. The potential advantages of using such a system over currently existing uni-dimensional classification systems to evaluate clinical problems are discussed.
自从电子粒子计数技术问世以来，贫血症通常是通过评估细胞大小（平均红细胞体积，MCV）和血红蛋白含量（平均红细胞血红蛋白含量，MCH）来分类的。最近，一个用于估计红细胞大小异质性的新参数（“红细胞分布宽度”或“RDW”）被引入。我们利用一个基于统计模式识别的专家系统，在一大群住院患者中评估了基于这一新参数的贫血症分类方案，并将我们的结果与其他研究进行了比较。文中还讨论了使用这样一个系统相对于目前现有的一维分类系统来评估临床问题的潜在优势。
