Article

Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient data

2025-05-21

Abstract excerpt

During the COVID-19 pandemic, the field of infectious disease modeling advanced rapidly, with forecasting tools developed to track trends in transmission dynamics and anticipate potential shortages of critical resources such as hospital capacity. In this study, we compared short-term forecasting approaches for COVID-19 hospital admissions that generate forecasts one to five weeks ahead, using retrospective electro...

Topics

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

Identifiers and source

Literature Corpus work: e5ffdc8f-8517-5453-b0a4-22c42dbc7f19
DOI: 10.1101/2025.05.21.25328056

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine learning-based short-term forecasting of COVID-19 hospital admissions using routine hospital patient dataDOI 10.1101/2025.05.21.25328056Read

Machine Learning for Real-Time Aggregated Prediction of Hospital Admission for Emergency PatientsSemantic proximity Read

Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New ZealandSemantic proximity Read

Short-term forecasts to inform the response to the Covid-19 epidemic in the UKSemantic proximity Read

Hospitalization forecast to inform COVID-19 pandemic planning and resource allocation using mathematical modelsSemantic proximity Read

Hospital Discharge Prediction Using Machine LearningSemantic proximity Read

A Machine Learning-enabled SIR Model for Adaptive and Dynamic Forecasting of COVID-19Semantic proximity Read

Forecasting the daily COVID-19 incidence in large and small communities -- A comparative study of forecasting approaches for disease surveillanceSemantic proximity Read

Risk of Hospitalization of Diagnosed Covid-19 Cases During the Pandemic: A Time-Series Analysis to Unveil Short- and Long-Run DynamicsSemantic proximity Read

Wastewater Surveillance Provides 10-Days Forecasting of COVID-19 Hospitalizations Superior to Cases and Test Positivity: A Prediction StudySemantic proximity Read

Development of Accurate Long-lead COVID-19 ForecastSemantic proximity Read

An Evaluation of Prospective COVID-19 Modeling: From Data to Science TranslationSemantic proximity Read

Early Prediction of COVID-19 Associated Hospitalization at the Time of CDC Contact Tracing using Machine Learning: Towards Pandemic PreparednessSemantic proximity Read