Studies using healthcare utilization data alone, such as electronic health records (EHR), can be used to make prediction of severe COVID-19 outcomes at point of hospital admission 13, but such predictive models are limited in interpreting risk factors outside of EHR (e.g., self-reported symptoms, occupation, geographic ...
Evaluation results on real-life e-health records show the practicality of our models in predicting hospital statuses of COVID-19 cases and the benefits of these ...
In this section, we describe several models for making bi- nary and multi-class predictions on hospital status of COVID-. 19 patients based on blood test ...
Our current goal is to predict hospitalization among COVID-19-positive patients using existing EHR information in an outpatient population. The cause of ...
Aug 27, 2024 · Download Citation | On Oct 17, 2022, W.R. Madill and others published Prediction of Hospital Status of COVID-19 Patients from E-Health ...
Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study
This study evaluated machine learning models using electronic records from 3,996 COVID-19 patients to forecast mild, moderate, or severe disease up to 2 days in ...
Feb 16, 2021 · We present the COVID-19 early warning system (CovEWS), a risk scoring system for assessing COVID-19 related mortality risk that we developed using data ...
In this study, we examined the electronic health records of 471 patients with severe COVID-19 to identify clinical indicators that could predict mortality.
Apr 12, 2024 · Article. A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care.