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资源简介：
Predict stroke using key health indicators and patient data
利用关键健康指标与患者数据预测脑卒中（stroke）
应用场景：
创建时间：
2026-04-02
相关数据集
Multivariable logistic regression analyses for lowest quartile of FVC% predicted.
Multivariable logistic regression analyses for lowest quartile of FVC% predicted.
NIAID Data Ecosystem60
Supplementary Material for: A MARKED EOSINOPHILIC INFILTRATION IN MUCOSA COULD BE A BETTER PREDICTIVE FACTOR FOR INTRACTABLE NON-ESOPHAGEAL EOSINOPHILIC GASTROINTESTINAL DISORDERS.
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
Figshare2023-04-21 更新40
Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals
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
NIAID Data Ecosystem10
RIPASA AND AIR SCORING SYSTEMS ARE SUPERIOR TO ALVARADO SCORING IN ACUTE APPENDICITIS : DATA SET
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
NIAID Data Ecosystem50
Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).
Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).
Figshare2017-09-30 更新10
