Prediction models for covid-19 integrating age groups, gender, and underlying conditions

I Ashraf, WS Alnumay, R Ali, S Hur… - Computers …, 2021 - e-space.mmu.ac.uk
The COVID-19 pandemic has caused hundreds of thousands of deaths, millions of infections
worldwide, and the loss of trillions of dollars for many large economies. It poses a grave …

[HTML][HTML] Prediction of COVID-19 data using hybrid modeling approaches

W Zhao, Y Sun, Y Li, W Guan - Frontiers in public health, 2022 - frontiersin.org
A major emphasis is the dissemination of COVID-19 across the country's many regions and
provinces. Using the present COVID-19 pandemic as a guide, the researchers suggest a …

[HTML][HTML] Using machine learning algorithms to develop a clinical decision-making tool for COVID-19 inpatients

A Vepa, A Saleem, K Rakhshan… - International journal of …, 2021 - mdpi.com
Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths.
Although multiple risk factors for COVID-19 have been identified, using this data to improve …

[HTML][HTML] Risk factors for severe COVID-19 differ by age for hospitalized adults

S Molani, PV Hernandez, RT Roper, VR Duvvuri… - Scientific reports, 2022 - nature.com
Risk stratification for hospitalized adults with COVID-19 is essential to inform decisions
about individual patients and allocation of resources. So far, risk models for severe COVID …

Prediction of COVID-19 individual susceptibility using demographic data: A case study on Saudi Arabia

A Althnian, A Abou Elwafa, N Aloboud… - Procedia Computer …, 2020 - Elsevier
The transmission dynamics of COVID-19 depend largely on the structure of the underlying
contact network and individuals susceptibility. The latter factor is a primary concern of Covid …

[HTML][HTML] COVID mortality prediction with machine learning methods: a systematic review and critical appraisal

F Bottino, E Tagliente, L Pasquini, AD Napoli… - Journal of personalized …, 2021 - mdpi.com
More than a year has passed since the report of the first case of coronavirus disease 2019
(COVID), and increasing deaths continue to occur. Minimizing the time required for resource …

[HTML][HTML] COVID-19 global risk: Expectation vs. reality

M Arsalan, O Mubin, F Alnajjar… - International journal of …, 2020 - mdpi.com
Background and Objective: COVID-19 has engulfed the entire world, with many countries
struggling to contain the pandemic. In order to understand how each country is impacted by …

[HTML][HTML] Machine learning based clinical decision support system for early COVID-19 mortality prediction

A Karthikeyan, A Garg, PK Vinod… - Frontiers in public …, 2021 - frontiersin.org
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …

[HTML][HTML] Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in south Florida

D Datta, S George Dalmida, L Martinez… - Frontiers in Digital …, 2023 - frontiersin.org
The SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic
burdens in the US and worldwide. As new variants continuously emerge, predicting critical …

Machine-learning models for predicting survivability in COVID-19 patients

ID Acheme, OR Vincent - Data Science for COVID-19, 2021 - Elsevier
COVID-19 is a disease currently ravaging the world, bringing unprecedented health and
economic challenges to several nations. There are presently close to five million reported …