首页/数据集/Logistic regression model for sleep medications and covariances.

Logistic regression model for sleep medications and covariances.

NIAID Data Ecosystem2026-03-12 收录

数据链接：

https://figshare.com/articles/dataset/Logistic_regression_model_for_sleep_medications_and_covariances_/12947430 数据链接链接失效反馈

官方服务：

资源简介：

Logistic regression model for sleep medications and covariances.

应用场景：

创建时间：

2020-09-11

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

NIAID Data Ecosystem50

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

Graves病

临床预测模型

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

Figshare2017-09-30 更新10

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.

NIAID Data Ecosystem10

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

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

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

NIAID Data Ecosystem10

Logistic regression model for sleep medications and covariances.

资源简介：

相关数据集