| Autor: |
Zhou LB; School of Public Health, Fujian Medical University, Fuzhou 350004, China., Zheng L, Luo JY, DU QY, Fang JQ, Sun ZQ |
| Jazyk: |
čínština |
| Zdroj: |
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [Zhonghua Liu Xing Bing Xue Za Zhi] 2008 Dec; Vol. 29 (12), pp. 1251-4. |
| Abstrakt: |
Through analyzing the influencing factors of congenital heart disease (CHD), it is aimed to establish CHD risk prediction model in fetus, and simultaneously provide theoretical foundation for CHD prevention. One-factor logistic regression method was used to screen the significant factors regarding CHD, and to separately adopt multiple-factor non-conditional logistic regression method and decision tree to set up model prediction fetus CHD risk and to analyze the advantages and shortcomings. Correct classification rates turned to be 80.93% and 82.79% respectively among 215 'training samples' by the two methods and the rates were 85.45% and 89.09% respectively among 55 'testing samples'. The alliance of logistic regression and decision tree can overcome influence by co-linearity to guarantee the accuracy and perfection, as well as promoting the predictive accuracy. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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