[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives

SG Paul, A Saha, AA Biswas, MS Zulfiker, MS Arefin… - Array, 2023 - Elsevier
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …

Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review

D Viderman, A Kotov, M Popov, Y Abdildin - International Journal of …, 2024 - Elsevier
Introduction Since the beginning of the COVID-19 pandemic, numerous machine and deep
learning (MDL) methods have been proposed in the literature to analyze patient …

The classification of medical and botanical data through majority voting using artificial neural network

K Tripathi, FA Khan, AMUD Khanday… - International Journal of …, 2023 - Springer
Data classification has many approaches in data mining and machine learning. The artificial
neural network (ANN) is applied to classify the data that might belong to various domains …

Biotechnological perspectives to combat the COVID-19 pandemic: precise diagnostics and inevitable vaccine paradigms

M Aileni, GK Rohela, P Jogam, S Soujanya, B Zhang - Cells, 2022 - mdpi.com
The outbreak of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
is the cause for the ongoing global public health emergency. It is more commonly known as …

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 …

Mortality analysis of patients with COVID-19 in Mexico based on risk factors applying machine learning techniques

A Becerra-Sánchez, A Rodarte-Rodríguez… - Diagnostics, 2022 - mdpi.com
The new pandemic caused by the COVID-19 virus has generated an overload in the quality
of medical care in clinical centers around the world. Causes that originate this fact include …

A machine learning approach to predict the rehabilitation outcome in convalescent COVID-19 patients

S Adamo, P Ambrosino, C Ricciardi, M Accardo… - Journal of personalized …, 2022 - mdpi.com
Background: After the acute disease, convalescent coronavirus disease 2019 (COVID-19)
patients may experience several persistent manifestations that require multidisciplinary …

Comparative study of quality of life 9 months post-COVID-19 infection with SARS-CoV-2 of varying degrees of severity: impact of hospitalization vs. outpatient …

O Maslova, T Vladimirova, A Videnin… - Frontiers in …, 2023 - frontiersin.org
Purpose This experimental study was conducted during the post-COVID-19 period to
investigate the relationship between the quality of life 9 months after and the severity of the …

Oxygen Requirement in Overweight/Obese Kidney Transplant Recipients with COVID-19: An Observational Cohort Study

A Veronese-Araújo, DD de Lucena, I Aguiar-Brito… - Diagnostics, 2023 - mdpi.com
Introduction: Obesity is one of the components of the cardiometabolic syndrome that
contributes to COVID-19 progression and mortality. Immunosuppressed individuals are at …

O2 supplementation disambiguation in clinical narratives to support retrospective COVID-19 studies

A Abdulnazar, A Kugic, S Schulz, V Stadlbauer… - BMC Medical Informatics …, 2024 - Springer
Background Oxygen saturation, a key indicator of COVID-19 severity, poses challenges,
especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain …