Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach

M Rojas-García, B Vázquez, K Torres-Poveda… - BMC Infectious …, 2023 - Springer
Background Mexico ranks fifth worldwide in the number of deaths due to COVID-19.
Identifying risk markers through easily accessible clinical data could help in the initial triage …

Multidisciplinary approach to COVID-19 risk communication: a framework and tool for individual and regional risk assessment

RR Parajuli, B Mishra, A Banstola, BR Ghimire… - Scientific reports, 2020 - nature.com
The COVID-19 pandemic has exceeded over sixty-five million cases globally. Different
approaches are followed to mitigate its impact and reduce its spreading in different …

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients

MM Ahamad, S Aktar, M Rashed-Al-Mahfuz… - Expert systems with …, 2020 - Elsevier
The recent outbreak of the respiratory ailment COVID-19 caused by novel coronavirus SARS-
Cov2 is a severe and urgent global concern. In the absence of effective treatments, the main …

Analyzing changes in respiratory rate to predict the risk of COVID-19 infection

DJ Miller, JV Capodilupo, M Lastella, C Sargent… - PloS one, 2020 - journals.plos.org
COVID-19, the disease caused by the SARS-CoV-2 virus, can cause shortness of breath,
lung damage, and impaired respiratory function. Containing the virus has proven difficult, in …

Early prediction model for critical illness of hospitalized COVID-19 patients based on machine learning techniques

Y Fu, W Zhong, T Liu, J Li, K Xiao, X Ma, L Xie… - Frontiers in Public …, 2022 - frontiersin.org
Motivation Patients with novel coronavirus disease 2019 (COVID-19) worsen into critical
illness suddenly is a matter of great concern. Early identification and effective triaging of …

[HTML][HTML] Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?

J Devaraj, RM Elavarasan, R Pugazhendhi… - Results in Physics, 2021 - Elsevier
The ongoing outbreak of the COVID-19 pandemic prevails as an ultimatum to the global
economic growth and henceforth, all of society since neither a curing drug nor a preventing …

Predictive value of comorbid conditions for COVID-19 mortality

I Marincu, F Bratosin, I Vidican, AC Bostanaru… - Journal of Clinical …, 2021 - mdpi.com
In this paper, we aim at understanding the broad spectrum of factors influencing the survival
of infected patients and the correlations between these factors to create a predictive …

[HTML][HTML] Gender, age and comorbidities as the main prognostic factors in patients with COVID-19 pneumonia

J Mi, W Zhong, C Huang, W Zhang, L Tan… - American journal of …, 2020 - ncbi.nlm.nih.gov
Abstract The coronavirus disease 2019 (COVID-19) pandemic has spread to almost all
countries. The currently reported epidemiological statistics show that age, gender, and type …

[HTML][HTML] Predictive modeling of COVID-19 death cases in Pakistan

M Daniyal, RO Ogundokun, K Abid, MD Khan… - Infectious Disease …, 2020 - Elsevier
Background The world is presently facing the challenges posed by COVID-19 (2019-nCoV),
especially in the public health sector, and these challenges are dangerous to both health …

A study protocol of external validation of eight COVID-19 prognostic models for predicting mortality risk in older populations in a hospital, primary care, and nursing …

A Zahra, K Luijken, EJ Abbink, JM van den Berg… - Diagnostic and …, 2023 - Springer
Background The COVID-19 pandemic has a large impact worldwide and is known to
particularly affect the older population. This paper outlines the protocol for external …