Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives

XU Duo, XU Zeshui - Artificial Intelligence in Medicine, 2024 - Elsevier
Artificial intelligence is constantly revolutionizing biomedical research and healthcare
management. Disease comorbidity is a major threat to the quality of life for susceptible …

Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022

G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

J Li, R Wang - Sustainability, 2023 - mdpi.com
The ever-increasing development of information technologies has led to the adoption of
advanced learning techniques. In this regard, e-learning and machine learning are two of …

An interplay between oxidative stress (Lactate dehydrogenase) and inflammation (Anisocytosis) mediates COVID-19 severity defined by routine clinical markers

M Alonso-Bernáldez, A Cuevas-Sierra, V Micó… - Antioxidants, 2023 - mdpi.com
Viral infections activate the innate immune response and the secretion of inflammatory
cytokines. They also alter oxidative stress markers, which potentially can have an …

Mining comorbidities: a brief survey

GM Dimitri - arXiv preprint arXiv:2406.10696, 2024 - arxiv.org
In this manuscript we will present a brief overview of the comorbidity concept. We will start by
laying its foundations and its definitions and then describing the role that machine learning …

Machine Learning for COVID-19 Patient Management: Predictive Analytics and Decision Support

C El Hadi, R Saliba, G Maalouly, M Riachy, G Sleilaty - medRxiv, 2024 - medrxiv.org
Background The global impact of severe acute respiratory syndrome coronavirus 2 (SARS-
CoV-2) has profoundly affected economies and healthcare systems around the world …

Classifying the evolution of COVID-19 severity on patients with combined dynamic Bayesian networks and neural networks

D Quesada, P Larrañaga, C Bielza - arXiv preprint arXiv:2303.05972, 2023 - arxiv.org
When we face patients arriving to a hospital suffering from the effects of some illness, one of
the main problems we can encounter is evaluating whether or not said patients are going to …

Predictive Biomarkers in Hypertensive COVID-19 Patients: Systematic Review of Ferritin and D-Dimer Levels

BG Ospina, LFE Cataño, JCC Ospina… - Journal of Hunan …, 2024 - jonuns.com
Inflammation and hypercoagulability have been identified as key factors in severe COVID-
19, particularly in hospitalized patients with hypertension. Elevated ferritin and D-dimer …

HIV Patients' Tracer for Clinical Assistance and Research during the COVID-19 Epidemic (INTERFACE): A Paradigm for Chronic Conditions

A Cingolani, K Kostopoulou, A Luraschi… - Information, 2022 - mdpi.com
The health emergency linked to the SARS-CoV-2 pandemic has highlighted problems in the
health management of chronic patients due to their risk of infection, suggesting the need of …

Ferritina como predictor de morbimortalidad en pacientes hipertensos hospitalizados con COVID severo comparada con valores de Dímero D: Una revisión …

JC Castaño Ospina - 2024 - uceva.repositoriodigital.com
Introducción: La infección por COVID-19 presentó una severidad variable, siendo
especialmente grave en pacientes hipertensos debido a los mecanismos asociados al …