摘要
目的应用妊娠患者的临床、生理、生化、形态学指标对输卵管妊娠进行早期鉴别诊断。方法通过Bayes逐步判别分析的方法筛选有意义的指标,建立输卵管妊娠的判别诊断模型与计量诊断表。结果年龄、体重、超声诊断、包块等指标对输卵管妊娠进行早期鉴别诊断有统计学意义,判别诊断模型交互验证考核正确率达91.9%。结论用Bayes判别分析方法筛选妊娠患者的早期征象和指标并建立模型,对输卵管妊娠早期诊断具有积极意义。
Objective To apply clinical, physiological, biochemical and morphological indexes of pregnant women in Beyes discriminant analysis for early diagnosing oviductal pregnancy. Methods Bayes discriminant analysis was used to select the significant indexes, and the discriminant diagnostic cast and quantitative diagnostic schedule were established to diagnose early oviductal pregnancy. Results The factors including age, body weight, ultrasonic diagnosis, and lump showed statistical significance in early diagnosis of oviductal pregnancy. The accurate rate of diagnostic model was 91.9 %. Conclusions Bayes discriminant analysis is of positive significance in differential diagnosis of early tubal pregnancy through screening the early signs and indexes from pregnant women.
出处
《实用预防医学》
CAS
2007年第6期1826-1828,共3页
Practical Preventive Medicine
关键词
判别分析
输卵管妊娠
早期诊断
Discriminant analysis
Tubal pregnancy
Early diagnosis
