Prediction models for in-hospital deaths of patients with COVID-19 using electronic healthcare data
K Hiraga, M Takeuchi, T Kimura, S Yoshida… - Current Medical …, 2023 - Taylor & Francis
Objective Many models for predicting various disease prognoses have achieved high
performance without laboratory test results. However, whether laboratory test results can …
performance without laboratory test results. However, whether laboratory test results can …
Predict In-Hospital Mortality in COVID-19 Patients with a Machine Learning Webpage Tool Based on Clinical Laboratory Data: An Exploratory Research
Y Wang, J Zhan, F Zhang, J Cheng, J Li - 2024 - researchsquare.com
Background The death risk induced by COVID-19 posed tremendous pressure on medical
services, resulting in a shortage of critical care resources and a heavy disease burden …
services, resulting in a shortage of critical care resources and a heavy disease burden …
Machine Learning Models to Predict In‐Hospital Mortality among Inpatients with COVID‐19: Underestimation and Overestimation Bias Analysis in Subgroup …
J Zarei, A Jamshidnezhad… - Journal of …, 2022 - Wiley Online Library
Prediction of the death among COVID‐19 patients can help healthcare providers manage
the patients better. We aimed to develop machine learning models to predict in‐hospital …
the patients better. We aimed to develop machine learning models to predict in‐hospital …
[HTML][HTML] Accuracy of machine learning models to predict mortality in COVID-19 infection using the clinical and laboratory data at the time of admission
Aim This study aimed to develop a predictive model to predict patients' mortality with
coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of …
coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of …
Development and validation of prognosis model of mortality risk in patients with COVID-19
This study aimed to identify clinical features for prognosing mortality risk using machine-
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
learning methods in patients with coronavirus disease 2019 (COVID-19). A retrospective …
A Prediction Model for Clinical Outcomes of COVID-19 Hospitalized Patients: Construction and Accuracy Assessment.
H Chen, M Chen, L Ling, J Yang, H Huang… - Clinical …, 2024 - search.ebscohost.com
Background: The coronavirus disease 2019 (COVID-19) pandemic spread rapidly with
considerable morbidity nationwide since China's liberalization in December 2022. Our work …
considerable morbidity nationwide since China's liberalization in December 2022. Our work …
Mortality prediction of COVID-19 in hospitalized patients using the 2020 diagnosis procedure combination administrative database of Japan
S Nojiri, Y Irie, R Kanamori, T Naito, Y Nishizaki - Internal Medicine, 2023 - jstage.jst.go.jp
Objectives Numerous people have died from coronavirus disease 2019 (COVID-19)
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
infection. Identifying crucial predictive biomarkers of disease mortality is critical to support …
Development of an early warning model for predicting the death risk of coronavirus disease 2019 based on data immediately available on admission
H Wang, H Ai, Y Fu, Q Li, R Cui, X Ma, YF Ma… - Frontiers in …, 2021 - frontiersin.org
Introduction: COVID-19 has overloaded worldwide medical facilities, leaving some
potentially high-risk patients trapped in outpatient clinics without sufficient treatment …
potentially high-risk patients trapped in outpatient clinics without sufficient treatment …
Early prediction of mortality risk among severe COVID-19 patients using machine learning
ABSTRACT BackgroundCoronavirus disease 2019 (COVID-19) caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally …
respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been spreading globally …
Early prediction of mortality risk among patients with severe COVID-19, using machine learning
Abstract Background Coronavirus disease 2019 (COVID-19), caused by severe acute
respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to …
respiratory syndrome coronavirus 2 infection, has been spreading globally. We aimed to …
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