检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
出 处:《职业与健康》2003年第3期3-4,共2页Occupation and Health
摘 要:目的 探讨判别分析在铅接触者健康监护结果判定中的应用价值。方法 对某蓄电池制造业近年的监测、体检资料进行判别分析。结果 建立函数式为F1=0.204 Zi+3.210 Pi+14.855 Ci—1.892和F2=0.829 Zi+14.767 Pi+23.681Ci—11.329。并用该函数式对所建模型资料和另一组资料进行判别分类,判别吻合率分别为97%和96%,经检验模型判定与实际结果均有非常显著的相关(P<0.001)。结论 用所建模型对该地区铅接触者健康监护结果来判定分类是可行的,且具有广阔的应用前景。[Objective]To study the application of distinguishing analysis to the supervision work on lead - exposed people. [Methods] Distinguishing analysis was carried out on the supervision work and physical examination data in recent years in rechargeable battery producing manufacturing. [Results]The established functions were: F1 = 0.204 Zi + 14.855 Ci - 1.892 and F2 = 0.829 Zi + 14.767 Pi + 23.681 Ci - 11.329. Those functions were used in distinguishing and classifying the formed data and another data. The distinguishing coincidence was 97% and 96%. Significant relativity was found between the tested models and the actual result ( P < 0.01). [Conclusion]It is feasible to use formed models to distinguish and classify health supervision on the lead - exposed people, and it has a favorable prospect.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222