Objectives: Developing and validating interpretable machine learning (ML) models for predicting whether triaged patients need to be admitted to the intensive care unit (ICU). Measures: Th

Figshare2024-11-08 更新40

Data Sheet 2_Machine learning-based early warning system for hemodynamic deterioration in cardiovascular ICU patients: a bidirectional cross-validation study.csv

ICU重症监护室

医疗预警系统

BackgroundEarly identification of hemodynamic deterioration in cardiovascular intensive care unit (ICU) patients is critical for improving clinical outcomes. Traditional monitoring approaches and scor

NIAID Data Ecosystem10

The function of corticosteriods in the development of limb muscle weakness in a porcine ICU model

ICU重症监护室

皮质类固醇肌肉毒性

Background: The aim of this study is to improve our understanding of the mechanisms underlying the function of corticosteriods in the limb muscles of ICU patients with acute quadriplegic myopathy (AQM

NIAID Data Ecosystem40

Impact of protein intake and nutritional status on the clinical outcome of critically ill patients

危重症营养支持

临床结局关联

ABSTRACT Objective: To evaluate the association of nutritional status and protein intake with the clinical outcomes of critically ill patients receiving enteral nutrition therapy in an intensive car

NIAID Data Ecosystem40

Energy and protein intake via EN and association with ICUAW on ICU days 3–7.

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