Detection of BSI: predictive performance on test dataset.

NIAID Data Ecosystem2026-05-02 收录

血流感染预测

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https://figshare.com/articles/dataset/Detection_of_BSI_predictive_performance_on_test_dataset_/27242760 数据链接链接失效反馈

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资源简介：

Detection of BSI: predictive performance on test dataset.

创建时间：

2024-10-16

Construction and Assessment of a Predictive Framework for Enterobacterales Bloodstream Infection in Real-World Adult Onco-hematology Patients Using Lasso-Cox Regression

血液肿瘤感染

血流感染预测

This dataset originates from a study aimed at developing and validating a prognostic prediction model for patients with Enterobacterales Bloodstream Infection in Real-World Adult Onco-hematology Patie

Mendeley Data30

Comparative performance metrics of ML models.

血流感染预测

可解释医疗AI

Bloodstream infections (BSIs) are a severe public health threat due to their rapid progression into critical conditions like sepsis. This study presents a novel eXplainable Artificial Intelligence (XA

NIAID Data Ecosystem20

Comparative performance metrics of ML models.

血流感染预测

可解释临床决策支持

Figshare2024-11-14 更新20

Independent risk factors for GNB in CRBSI in neutropenic oncological and hematological patients.

肿瘤患者感染风险因素

血流感染预测

Independent risk factors for GNB in CRBSI in neutropenic oncological and hematological patients.

NIAID Data Ecosystem30

Construction of hypermedia for prevention of bloodstream infection

医疗教育

血流感染预测

ABSTRACT Objective: To describe the process of construction and assessment of the content of a Virtual Learning Object on preventing bloodstream infections associated with infusion therapy. Method: Me

Figshare2020-03-01 更新20

Detection of BSI: predictive performance on test dataset.

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