Article

Improved Sensitivity For Detection Of Clinical Deterioration When Diagnostic Pathology And Patient Trends Are Included In Machine Learning Models

2024-10-22

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> This study aimed to develop and validate a machine learning model to predict deterioration using Australian hospital data, paying particular attention to the role of predictors not included in current scoring systems. <h4>Design</h4> Retrospective cohort study using electronic health records from a large metropolitan health service. <h4>Setting</h4> General hospital wards, exc...

Topics

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

Identifiers and source

Literature Corpus work: 87d7bd79-e9ca-5101-98d9-05251266f380
DOI: 10.1101/2024.10.20.24315403

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Improved Sensitivity For Detection Of Clinical Deterioration When Diagnostic Pathology And Patient Trends Are Included In Machine Learning ModelsDOI 10.1101/2024.10.20.24315403Read

Machine learning outperforms state-of-the-art continuous vital sign monitoringSemantic proximity Read

Early Warning Model for Patient Deterioration: A Machine Learning Approach for Nurse-Led MonitoringSemantic proximity Read

Real-time Machine Learning Alerts to Prevent Escalation of Care: A Pragmatic Clinical TrialSemantic proximity Read

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical DataSemantic proximity Read

Derivation and Validation of a Clinical Deterioration Early Warning System (Cdews) Score in Hospital InpatientsSemantic proximity Read

OASIS+: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortalitySemantic proximity Read

Development and External Validation of a High-Precision Model for Predicting ICU Admission from Emergency Department TriageSemantic proximity Read

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

Derivation and Validation of a Clinical Deterioration Early Warning System (Cdews) Score in Hospital InpatientsSemantic proximity Read

Improved Inpatient Deterioration Detection in General Wards by Using Time-Series Vital SignsSemantic proximity Read

Risk assessment of acute respiratory failure requiring advanced respiratory support using machine learningSemantic proximity Read

Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia - challenges, strengths, and opportunities in a global health emergencySemantic proximity Read