数据链接：
官方服务：
资源简介：
Multivariate analysis of overhydration predictors.
应用场景：
创建时间：
2017-08-23
相关数据集
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
Adjusted factors associated with indicators of kidney damage.
afactors included in multivariate logistic regression were: age(change by 10 years), female, diabetes, hypertension, history of CKD, history of CVD, current smoking, hyperuricemia(>422 µmol/L for men,
Figshare2015-12-02 更新30
Datasheet1_A nomogram for predicting neonatal apnea: a retrospective analysis based on the MIMIC database.pdf
IntroductionThe objective of this study is to develop a model based on indicators in the routine examination of neonates to effectively predict neonatal apnea. MethodsWe retrospectively analysed 8024
NIAID Data Ecosystem10
Table_1_Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.pdf
BackgroundPrediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality. ObjectiveTo study the prognostic value of damage parameters
NIAID Data Ecosystem30
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
