[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
especially in cases of silent hypoxemia. Electronic health records (EHRs) often contain …