毛发元素谱与银屑病发病关系的研究──人工智能在银屑病研究上的应用

Study of the Relationship between Hair Elements Spectrum and Psoriasis ──The Application or Artificial Intelligence to the Study of Psoriasis

据银屑病病机研究计划，对西钢及略钢两厂职工及家属银屑病患者５９例（西钢２９例，略钢３０例）及对照组１２２人（西钢６０人，略钢６２人）采集毛发标本，常规方法处理，用原子吸收光谱仪和荧光分光光度计测定１１种元素含量．对结果先进行单因素分析，然后用微机－多因素逐步判别分析法分析。证实了后者为较单因素分析先进的方法，并选出Ｚｎ、Ｆｅ、Ｃａ、Ｍｇ、Ｍｏ、Ｃｏ为西钢厂主要发病因素，Ｃａ、Ｍｏ、Ｓｅ为略钢厂主要发病因素．由此可见，银屑病的发病受多因素影响，而多因素逐步判别法对研究银屑病病机不失为一较先进的方法．

The hair specimens of 59 psoriasis patients (29 from Xian iron and Steel Works and 30from Lueyang iron and Steel Works) and 122 persons of the control group were collected according to our research plan of psoriasis pathogenesis and then treated with normal methods. The contents of 11 kinds of elements were determined by atomic absorption spectrometer and fluorospectrophotometer. The results were analysed by the single factor analysis at first and then the computer-multifactor stepwise discriminant analysis was made' The analysis results indicated that the latter analysis was more advanced. Zn. Fe. Ca, Mg, Mo and Co were selected as the main pathogenic factors in the patients from Xian iron and Steel Works and Ca. Mo. Se in those from Lueyang iron and Steel Works.Therefore. the onset of psoriasis is influenced by many factors and the multifactorial stepwise discriminant analysis, after all,is a more advanced method in the study of psoriasis pathogenesis.