Cargando…

Development and validation of early warning score systems for COVID‐19 patients

COVID‐19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of November 2020. Predicting which patients will need respiratory support is important to guiding individual patient treatment a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Youssef, Alexey, Kouchaki, Samaneh, Shamout, Farah, Armstrong, Jacob, El‐Bouri, Rasheed, Taylor, Thomas, Birrenkott, Drew, Vasey, Baptiste, Soltan, Andrew, Zhu, Tingting, Clifton, David A., Eyre, David W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Original Research Papers
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239612/ https://www.ncbi.nlm.nih.gov/pubmed/34221413 http://dx.doi.org/10.1049/htl2.12009

Ejemplares similares

Early warning score adjusted for age to predict the composite outcome of mortality, cardiac arrest or unplanned intensive care unit admission using observational vital-sign data: a multicentre development and validation
por: Shamout, Farah, et al.
Publicado: (2019)

Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test
por: Soltan, Andrew A S, et al.
Publicado: (2021)

Machine learning in patient flow: a review
por: El-Bouri, Rasheed, et al.
Publicado: (2021)

Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge
por: Bishop, Jennifer A., et al.
Publicado: (2021)

On the effectiveness of compact biomedical transformers
por: Rohanian, Omid, et al.
Publicado: (2023)

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning
por: Yang, Jenny, et al.
Publicado: (2023)

Real-world evaluation of rapid and laboratory-free COVID-19 triage for emergency care: external validation and pilot deployment of artificial intelligence driven screening
por: Soltan, Andrew A S, et al.
Publicado: (2022)

An adversarial training framework for mitigating algorithmic biases in clinical machine learning
por: Yang, Jenny, et al.
Publicado: (2023)

‘Errors’ and omissions in paper-based early warning scores: the association with changes in vital signs—a database analysis
por: Clifton, David A, et al.
Publicado: (2015)

Cross-sectional centiles of blood pressure by age and sex: a four-hospital database retrospective observational analysis
por: Wong, David, et al.
Publicado: (2020)

Manual centile-based early warning scores derived from statistical distributions of observational vital-sign data()
por: Watkinson, Peter J., et al.
Publicado: (2018)

A signal processing method for alignment-free metagenomic binning: multi-resolution genomic binary patterns
por: Kouchaki, Samaneh, et al.
Publicado: (2019)

Development and validation of the early warning system scores ontology
por: Zayas, Cilia E., et al.
Publicado: (2023)

The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis
por: Malycha, James, et al.
Publicado: (2019)

An end-to-end heterogeneous graph attention network for Mycobacterium tuberculosis drug-resistance prediction
por: Yang, Yang, et al.
Publicado: (2021)

Laboratory early warning score versus clinical early warning score as a predictor of imminent cardiac arrest
por: Keil, M, et al.
Publicado: (2014)

An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study
por: Bijlani, Nivedita, et al.
Publicado: (2022)

Development and initial validation of the Bedside Paediatric Early Warning System score
por: Parshuram, Christopher S, et al.
Publicado: (2009)

Validation of the VitalPAC Early Warning Score at the Intermediate Care Unit
por: Plate, Joost DJ, et al.
Publicado: (2018)

DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
por: Yang, Yang, et al.
Publicado: (2019)

Factors affecting the clinical response to National Early Warning score triggers
por: Kolic, I, et al.
Publicado: (2014)

Comparison of within 7 Day All-Cause Mortality among HDU Patients with Modified Early Warning Score of ≥5 with those with Score of <5
por: Shaikh, Majid Ahmed, et al.
Publicado: (2021)

Dynamic individual vital sign trajectory early warning score (DyniEWS) versus snapshot national early warning score (NEWS) for predicting postoperative deterioration
por: Zhu, Yajing, et al.
Publicado: (2020)

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
por: Charlton, Peter H., et al.
Publicado: (2018)

A retrospective cohort study of the utility of the modified early warning score for interfacility transfer of patients with traumatic injury
por: Salottolo, Kristin, et al.
Publicado: (2017)

Validation of an electronic early warning score using decision tree analysis: proposal
por: Xu, M, et al.
Publicado: (2015)

Early warning score validation methodologies and performance metrics: a systematic review
por: Fang, Andrew Hao Sen, et al.
Publicado: (2020)

Multi-Label Random Forest Model for Tuberculosis Drug Resistance Classification and Mutation Ranking
por: Kouchaki, Samaneh, et al.
Publicado: (2020)

Modified Early Warning Scores: inaccurate summation or inaccurate assignment of score?
por: Edwards, M, et al.
Publicado: (2010)

Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
por: Khalili, Elham, et al.
Publicado: (2020)

Application of machine learning techniques to tuberculosis drug resistance analysis
por: Kouchaki, Samaneh, et al.
Publicado: (2019)

The performance of the National Early Warning Score and National Early Warning Score 2 in hospitalised patients infected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
por: Kostakis, Ina, et al.
Publicado: (2021)

Hamilton Early Warning Score: predict, prevent and protect
por: Tam, B, et al.
Publicado: (2015)

A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study
por: Pimentel, Marco A.F., et al.
Publicado: (2019)

‘Warning: ultra-processed’ — A call for warnings on foods that aren’t really foods
por: Cotter, Trish, et al.
Publicado: (2021)

Dynamic early warning scores for predicting clinical deterioration in patients with respiratory disease
por: Gonem, Sherif, et al.
Publicado: (2022)

Predictive powers of the Modified Early Warning Score and the National Early Warning Score in general ward patients who activated the medical emergency team
por: Ahn, Jee Hwan, et al.
Publicado: (2020)

Comparison of early warning scores in patients with COPD exacerbation: DECAF and NEWS score
por: Echevarria, Carlos, et al.
Publicado: (2019)

Multicenter derivation and validation of an early warning score for acute respiratory failure or death in the hospital
por: Dziadzko, Mikhail A, et al.
Publicado: (2018)

Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients
por: Arnolds, David E., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_5g8kn4pbe2ms9eatembvr523fm