Article

Development and Validation of Dynamic Predictive Models Using Vital Signs for Trauma-associated Severe Hemorrhage: a Comparative Study

2022-02-03

Abstract excerpt

<h4>Background: </h4> This study aimed to develop and to validate dynamic predictive models for trauma-associated severe hemorrhage based on vital signs to register early warning and dynamic prediction of severe hemorrhage in trauma patients. <h4>Methods: </h4> The MIMIC-IV cohort was collected retrospectively. The inclusion criteria were trauma patients aged ≥16 years with complete clinical data. Heart rate, resp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 03354904-1e30-5194-a69e-e8d4d7809f59
DOI: 10.21203/rs.3.rs-1141709/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and Validation of Dynamic Predictive Models Using Vital Signs for Trauma-associated Severe Hemorrhage: a Comparative StudyDOI 10.21203/rs.3.rs-1141709/v1Read

Discussion on the prediction model of early judgment of critical risk in emergency patientsSemantic proximity Read

Machine-Learning Enhanced Prediction of Need for Hemorrhage Resuscitation after Trauma – The ShockMatrix Pilot StudySemantic proximity Read

Prediction of Hypotension Events with Physiologic Vital Sign Signatures in The Intensive Care UnitSemantic proximity Read

Generalized Prediction of Hemodynamic Shock in Intensive Care UnitsSemantic proximity Read

First-24-hour machine learning for 30-day mortality prediction in ICU trauma patients: development in MIMIC-III and cross-database evaluation in MIMIC-IVSemantic proximity Read

A validation of machine learning-based risk scores in the prehospital settingSemantic proximity Read

Prospective Validation of the EAC+ Algorithm for Surgical Timing in Multi-System Trauma: A Multicentre Pragmatic TrialSemantic proximity Read

Development of machine learning model for predicting hospitalization in the prehospital settingSemantic proximity Read

Enhancing the golden hour: classification of traumatic brain injury, severity, and concomitant clinical phenotypes using prehospital continuous physiological data during air transport.Semantic proximity Read

Prediction of Mortality in a Patient With Acute PoisoningSemantic proximity Read

Investigating the effect of respiratory indices to predict mortality and the status of trauma patients using artificial neural networksSemantic proximity Read

Score for Emergency Risk Prediction (SERP): An Interpretable Machine Learning AutoScore–Derived Triage Tool for Predicting Mortality after Emergency AdmissionsSemantic proximity Read