Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong

J Zhou, S Lee, X Wang, Y Li, WKK Wu, T Liu… - NPJ digital …, 2021 - nature.com
Recent studies have reported numerous predictors for adverse outcomes in COVID-19
disease. However, there have been few simple clinical risk scores available for prompt risk …

[HTML][HTML] Age-stratified infection probabilities combined with a quarantine-modified model for COVID-19 needs assessments: model development study

VP Bongolan, JMA Minoza, R de Castro… - Journal of Medical …, 2021 - jmir.org
Background Classic compartmental models such as the susceptible-exposed-infectious-
removed (SEIR) model all have the weakness of assuming a homogenous population …

Individual factors associated with COVID-19 infection: a machine learning study

T Ramírez-del Real, M Martínez-García… - Frontiers in Public …, 2022 - frontiersin.org
The fast, exponential increase of COVID-19 infections and their catastrophic effects on
patients' health have required the development of tools that support health systems in the …

A review on predictive systems and data models for covid-19

FN Khan, AA Khanam, A Ramlal, S Ahmad - … intelligence methods in …, 2021 - Springer
Abstract Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or novel
Coronavirus, responsible for the transmission of Coronavirus disease (COVID-19) …

Prediction and analysis of corona virus disease 2019

Y Hao, T Xu, H Hu, P Wang, Y Bai - PloS one, 2020 - journals.plos.org
The outbreak of Corona Virus Disease 2019 (COVID-19) in Wuhan has significantly
impacted the economy and society globally. Countries are in a strict state of prevention and …

A risk prediction model for evaluating the disease progression of COVID-19 pneumonia

G Cao, P Li, Y Chen, K Fang, B Chen, S Wang… - Frontiers in …, 2020 - frontiersin.org
Background and Objective: The epidemic of coronavirus disease 2019 (COVID-19)
pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 …

A flexible age-dependent, spatially-stratified predictive model for the spread of COVID-19, accounting for multiple viral variants and vaccines

KA Schneider, HCJ Tsoungui Obama… - Plos one, 2023 - journals.plos.org
Background After COVID-19 vaccines received approval, vaccination campaigns were
launched worldwide. Initially, these were characterized by a shortage of vaccine supply, and …

Finding of the factors affecting the severity of COVID-19 based on mathematical models

J Qu, B Sumali, H Lee, H Terai, M Ishii, K Fukunaga… - Scientific reports, 2021 - nature.com
Since 2019, a large number of people worldwide have been infected with severe acute
respiratory syndrome coronavirus 2. Among those infected, a limited number develop severe …

[PDF][PDF] Evaluation of the prediction of CoVID-19 recovered and unrecovered cases using symptoms and patient's meta data based on support vector machine, neural …

D Al-Najjar, H Al-Najjar… - Eur. Rev. Med. Pharmacol …, 2021 - europeanreview.org
OBJECTIVE: This paper aims to develop four prediction models for recovered and
unrecovered cases using descriptive data of patients and symptoms of CoVID-19 patients …

Unraveling complex relationships between COVID-19 risk factors using machine learning based models for predicting mortality of hospitalized patients and …

MM Banoei, H Rafiepoor, K Zendehdel… - Frontiers in …, 2023 - frontiersin.org
Background At the end of 2019, the coronavirus disease 2019 (COVID-19) pandemic
increased the hospital burden of COVID-19 caused by the SARS-Cov-2 and became the …