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Patient characteristics of the POSE [14] cohort used for the development of PIRATE.

NIAID Data Ecosystem2026-05-01 收录

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https://figshare.com/articles/dataset/Patient_characteristics_of_the_POSE_14_cohort_used_for_the_development_of_PIRATE_/24888591 数据链接链接失效反馈

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Patient characteristics of the POSE [14] cohort used for the development of PIRATE.

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创建时间：

2023-12-21

儿童健康

医疗预测模型

ObjectiveDevelopment and validation of clinical prediction model (CPM) for serious bacterial infections (SBIs) in children presenting to the emergency department (ED) with febrile illness, based on cl

frontiersin.figshare.com2023-06-01 更新50

Demographics of study participants of the discovery cohort.

抗过敏研究

临床队列分析

ND - Not determined; all study participants were challenged with cat allergen.a: geometric mean (PC20 values are measured on a log scale);b: [PC20]pre/[PC20]post.cp

Figshare2015-12-02 更新30

Table_1_Development and Validation of a Nomogram for Predicting Postoperative Delirium in Patients With Elderly Hip Fracture Based on Data Collected on Admission.DOCX

医疗预测模型

老年骨折

Delirium is a common postoperative complication in elderly hip fracture patients that seriously affects patients’ lives and health, and early delirium risk prediction, and targeted measures can signif

NIAID Data Ecosystem30

Supplementary materials for Solid and hematological malignancies in patients with bullous pemphigoid: a national cohort study

疾病共病研究

临床队列分析

Supplementary materials: materials and methods and supplementary table

Mendeley Data50

Prediction models using multiple logistic regression and artificial neural network.

医疗预测模型

Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negative predictive value. Data from a total of 2092 patients had been used to MLR analysis. Data from a total

NIAID Data Ecosystem30

Patient characteristics of the POSE [14] cohort used for the development of PIRATE.

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