Predictive ability of multivariate prediction model for time-to-second-fall.

NIAID Data Ecosystem2026-03-09 收录

数据链接：

https://figshare.com/articles/dataset/Predictive_ability_of_multivariate_prediction_model_for_time-to-second-fall_/3911418 数据链接链接失效反馈

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资源简介：

Predictive ability of multivariate prediction model for time-to-second-fall.

创建时间：

2016-09-28

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

Performance of ML algorithms in MIMIC IV dataset according to AUC, accuracy and F2 metrics, with respective 95% confidence intervals.

医疗机器学习

临床预测模型

Performance of ML algorithms in MIMIC IV dataset according to AUC, accuracy and F2 metrics, with respective 95% confidence intervals.

Figshare2024-10-11 更新00

Results of the Poisson regression model predicting history of falls for subjects included in the study who underwent visual performance assessment with the Performance-Centered Portable Test processing speed parameter.

跌倒风险预测

视觉处理速度评估

PERCEPT, PERformance CEntered Portable Test; STD, standard deviation of torque moments.Results of the Poisson regression model predicting history of falls for subjects included in the study who underw

Figshare2015-12-03 更新30

Univariate and multivariable logistic regression analysis for association of clinical factors with presence of brain metastases at baseline.

脑转移预测

临床预测模型

Univariate and multivariable logistic regression analysis for association of clinical factors with presence of brain metastases at baseline.

Figshare2018-03-06 更新10