Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks

PG Asteris, E Gavriilaki… - Journal of cellular …, 2022 - Wiley Online Library
There is an unmet need of models for early prediction of morbidity and mortality of
Coronavirus disease‐19 (COVID‐19). We aimed to a) identify complement‐related genetic …

Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices

PG Asteris, S Kokoris, E Gavriilaki, MZ Tsoukalas… - Clinical …, 2023 - Elsevier
We aimed to develop a prediction model for intensive care unit (ICU) hospitalization of
Coronavirus disease-19 (COVID-19) patients using artificial neural networks (ANN). We …

Acceleration of biological aging and underestimation of subjective age are risk factors for severe COVID-19

TN Berezina, S Rybtsov - Biomedicines, 2021 - mdpi.com
In an epidemic, it is important to have methods for reliable and rapid assessment of risk
groups for severe forms of the disease for their priority vaccination and for the application of …

Machine learning approach for rapid estimation of five-day biochemical oxygen demand in wastewater

PG Asteris, DE Alexakis, MZ Tsoukalas, DE Gamvroula… - Water, 2022 - mdpi.com
Improperly managed wastewater effluent poses environmental and public health risks. BOD
evaluation is complicated by wastewater treatment. Using key parameters to estimate BOD …

Association between the human development index and confirmed COVID-19 cases by country

MH Heo, YD Kwon, J Cheon, KB Kim, JW Noh - Healthcare, 2022 - mdpi.com
It is important to understand the ultimate control of COVID-19 in all countries around the
world in relation to the characteristics of developed countries, LDCs, and the variety of …

Understanding the relationships between health spending, treatable mortality and economic productivity in OECD countries

V Ivankova, B Gavurova, S Khouri - Frontiers in Public Health, 2022 - frontiersin.org
Introduction Population health is one of the highest priorities for countries, which can
translate into increased economic prosperity. This encourages research on health in an …

On explaining confounding bias

B Youngmann, M Cafarella… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
When analyzing large datasets, analysts are often interested in the explanations for
unexpected results produced by their queries. In this work, we focus on aggregate SQL …

The COVID-19 mortality rate is associated with illiteracy, age, and air pollution in urban neighborhoods: A spatiotemporal cross-sectional analysis

A Mohammadi, E Pishgar, M Fatima, A Lotfata… - Tropical Medicine and …, 2023 - mdpi.com
There are different area-based factors affecting the COVID-19 mortality rate in urban areas.
This research aims to examine COVID-19 mortality rates and their geographical association …

[PDF][PDF] The impact of long-term conditions and comorbidity patterns on COVID-19 infection and hospitalisation: a cohort study

YT Huang, A Steptoe, RS Patel, E Fuller Thomson… - Gerontology, 2023 - karger.com
Introduction: Older adults are more vulnerable to COVID-19 infections; however, little is
known about which comorbidity patterns are related to a higher risk of COVID-19 infection …

Effective health systems facing pandemic crisis: lessons from COVID-19 in Europe for next emergencies

M Coccia, I Benati - International Journal of Health Governance, 2024 - emerald.com
Purpose The investigation goal is the analysis of the relation between healthcare
expenditures and other resources, and COVID-19 fatality rates among European countries …