Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Applications of big data analytics to control COVID-19 pandemic
The COVID-19 epidemic has caused a large number of human losses and havoc in the
economic, social, societal, and health systems around the world. Controlling such epidemic …
economic, social, societal, and health systems around the world. Controlling such epidemic …
A meta-analysis on the risk factors adjusted association between cardiovascular disease and COVID-19 severity
J Xu, W **ao, X Liang, L Shi, P Zhang, Y Wang… - BMC public health, 2021 - Springer
Background Cardiovascular disease (CVD), one of the most common comorbidities of
coronavirus disease 2019 (COVID-19), has been suspected to be associated with adverse …
coronavirus disease 2019 (COVID-19), has been suspected to be associated with adverse …
Predicting patient decompensation from continuous physiologic monitoring in the emergency department
Anticipation of clinical decompensation is essential for effective emergency and critical care.
In this study, we develop a multimodal machine learning approach to predict the onset of …
In this study, we develop a multimodal machine learning approach to predict the onset of …
[HTML][HTML] Associations of physical inactivity and COVID-19 outcomes among subgroups
Introduction Physical activity before COVID-19 infection is associated with less severe
outcomes. The study determined whether a dose‒response association was observed and …
outcomes. The study determined whether a dose‒response association was observed and …
A fuzzy hybrid MCDM approach for assessing the emergency department performance during the COVID-19 outbreak
The use of emergency departments (EDs) has increased during the COVID-19 outbreak,
thereby evidencing the key role of these units in the overall response of healthcare systems …
thereby evidencing the key role of these units in the overall response of healthcare systems …
A machine-learning prediction model to identify risk of firearm injury using electronic health records data
Importance Firearm injuries constitute a public health crisis. At the healthcare encounter
level, they are, however, rare events. Objective To develop a predictive model to identify …
level, they are, however, rare events. Objective To develop a predictive model to identify …
[HTML][HTML] Description and early results of the Kaiser Permanente Southern California COVID-19 home monitoring program
DN Huynh, A Millan, E Quijada, D John… - The Permanente …, 2021 - ncbi.nlm.nih.gov
Methods: We conducted an observational retrospective study of all patients enrolled in the
COVID-19 Home Monitoring program between April 13, 2020 through February 12, 2021 …
COVID-19 Home Monitoring program between April 13, 2020 through February 12, 2021 …
Performance analysis of the national early warning score and modified early warning score in the adaptive COVID-19 treatment trial cohort
CJ Colombo, RE Colombo, RC Maves… - Critical Care …, 2021 - journals.lww.com
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[HTML][HTML] Derivation and validation of a clinical decision rule to risk‐stratify COVID‐19 patients discharged from the emergency department: The CCEDRRN COVID …
Objective To risk‐stratify COVID‐19 patients being considered for discharge from the
emergency department (ED). Methods We conducted an observational study to derive and …
emergency department (ED). Methods We conducted an observational study to derive and …