ArticleScientific reports2022
A machine learning model for predicting deterioration of COVID-19 inpatients.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Model-free prognostication of non-linear time series.PloS one · 2026Article
- Machine learning-based risk prediction of outcomes in patients hospitalized with COVID-19 in Australia: the AUS-COVID Score.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Feature Identification Using Interpretability Machine Learning Predicting Risk Factors for Disease Severity of In-Patients with COVID-19 in South Florida.Diagnostics (Basel, Switzerland) · 2024Article
- Decoding acute myocarditis in patients with COVID-19: Early detection through machine learning and hematological indices.iScience · 2024Article
- Deep learning in public health: Comparative predictive models for COVID-19 case forecasting.PloS one · 2024Article
- Predicting Deterioration from Wearable Sensor Data in People with Mild COVID-19.Sensors (Basel, Switzerland) · 2023Article
- Article
- FCMCPS-COVID: AI propelled fog-cloud inspired scalable medical cyber-physical system, specific to coronavirus disease.Internet of things (Amsterdam, Netherlands) · 2023Article
- Application of machine learning approach in emergency department to support clinical decision making for SARS-CoV-2 infected patients.Journal of integrative bioinformatics · 2023Observational
- Clinical prediction rules for adverse evolution in patients with COVID-19 by the Omicron variant.International journal of medical informatics · 2023Article
- Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features.Scientific reports · 2023Article
- Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida.Frontiers in digital health · 2023Article
- Multi-region machine learning-based novel ensemble approaches for predicting COVID-19 pandemic in Africa.Environmental science and pollution research international · 2023Article
- Prediction of low pulse oxygen saturation in COVID-19 using remote monitoring post hospital discharge.International journal of medical informatics · 2023Article
- Generalized external synchronization of networks based on clustered pandemic systems-The approach of Covid-19 towards influenza.PloS one · 2023Article
- Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19.Scientific reports · 2022Article
- Machine learning and predictive models: 2 years of Sars-CoV-2 pandemic in a single-center retrospective analysis.Journal of anesthesia, analgesia and critical care · 2022Article
- Severe COVID-19 is characterised by inflammation and immature myeloid cells early in disease progression.Heliyon · 2022Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has been spreading worldwide since December 2019, presenting an urgent threat to global health. Due to the limited understanding of disease progression and of the risk factors for the disease, it is a clinical challenge to predict which hospitalized patients will deteriorate. Moreover, several studies suggested that taking early measures for treating patients at risk of deterioration could prevent or lessen condition worsening and the need for mechanical ventilation. We developed a predictive model for early identification of patients at risk for clinical deterioration by retrospective analysis of electronic health records of COVID-19 inpatients at the two largest medical centers in Israel. Our model employs machine learning methods and uses routine clinical features such as vital signs, lab measurements, demographics, and background disease. Deterioration was defined as a high NEWS2 score adjusted to COVID-19. In the prediction of deterioration within the next 7-30 h, the model achieved an area under the ROC curve of 0.84 and an area under the precision-recall curve of 0.74. In external validation on data from a different hospital, it achieved values of 0.76 and 0.7, respectively.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.