Conclusions: Using two independent patient datasets, we designed a machine-learning-based model that could predict the risk of mortality from severe COVID-19 ...
We designed a machine-learning-based model that could predict the risk of mortality from severe COVID-19 with high accuracy.
Objectives: Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ICU admission.
Feb 8, 2021 · Objectives Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ...
May 28, 2021 · We can predict the chance of survival based on values measured on the day of arrival in the ICU. · There is a paucity of ICU severity predictor ...
Feb 9, 2021 · Objectives Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ...
Feb 8, 2021 · Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ICU ...
Our model can predict ICU mortality with higher predictive power than the three conventional disease severity scores in patients with COVID-19.
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Jan 13, 2022 · Objectives: Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ...
Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU · Frontiers in Digital Health, January 2022 · 10.3389/fdgth.2021.681608.