遇见数据集

Diagnostic performance of 23 candidate 1-of-n rules.

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Figshare2015-12-02 更新2026-04-29 收录
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Sensitivity, specificity, and likelihood ratio negative (LRN) from the bivariate random-effects meta-analysis model. Rule is at least one of the indicated symptoms. C, current cough; H, haemoptysis; F, fever; S, sweats; W, weight loss.ap-Value >0.05 for the same sensitivity of the CFSW rule and the indicated rule. All specificities are significantly different from that of the CFSW rule.LRN, likelihood ratio negative.

本数据集提取自双变量随机效应荟萃分析模型(bivariate random-effects meta-analysis model),包含敏感性、特异度及阴性似然比(likelihood ratio negative, LRN)。其判定规则为至少存在一项指定症状:C代表现症咳嗽(current cough)、H代表咯血(haemoptysis)、F代表发热(fever)、S代表盗汗(sweats)、W代表体重减轻(weight loss)。CFSW判定规则与对应指定规则的敏感性无统计学差异(P值>0.05);所有指定规则的特异度均与CFSW规则的特异度存在显著统计学差异。LRN即阴性似然比(likelihood ratio negative)。

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2015-12-02
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