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Basic characteristics and clinical variables in the derivation cohort.

Figshare2021-01-22 更新2026-04-28 收录

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Basic characteristics and clinical variables in the derivation cohort.

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创建时间：

2021-01-22

急性阑尾炎诊断评分

临床预测模型

The objective was to find the predictive accuracy of MASS and two new systems namely Appendicitis Inflammatory Response (AIR) score and Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) score, in

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Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).

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Diagnostic accuracy of CPS and external validation at various score cut-off points.

临床预测模型

准确性评估

Diagnostic accuracy of CPS and external validation at various score cut-off points.

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Supplementary Material for: A MARKED EOSINOPHILIC INFILTRATION IN MUCOSA COULD BE A BETTER PREDICTIVE FACTOR FOR INTRACTABLE NON-ESOPHAGEAL EOSINOPHILIC GASTROINTESTINAL DISORDERS.

嗜酸性粒细胞性胃肠道疾病

临床预测模型

Introduction：Non-esophageal eosinophilic gastrointestinal disorders (non-EoE EGIDs) are rare, but their prevalence has recently increased. Although it has been reported that one-half of patients with

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Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals

临床预测模型

死亡率风险评估

The data was collected as part of the Clinical Information Network (CIN) project which collects routine admission data from participating hospitals. The data used for this analysis were collected betw

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Basic characteristics and clinical variables in the derivation cohort.

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