Prognostic models in COVID-19 infection that predict severity: a systematic review
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …
remains controversial. We performed a systematic review to summarize and critically …
[HTML][HTML] Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
G Krishnan, S Singh, M Pathania, S Gosavi… - Frontiers in Artificial …, 2023 - ncbi.nlm.nih.gov
As the demand for quality healthcare increases, healthcare systems worldwide are
grappling with time constraints and excessive workloads, which can compromise the quality …
grappling with time constraints and excessive workloads, which can compromise the quality …
Human placenta-derived amniotic epithelial cells as a new therapeutic hope for COVID-19-associated acute respiratory distress syndrome (ARDS) and systemic …
A Babajani, K Moeinabadi-Bidgoli, F Niknejad… - Stem Cell Research & …, 2022 - Springer
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus
disease 2019 (COVID-19), has become in the spotlight regarding the serious early and late …
disease 2019 (COVID-19), has become in the spotlight regarding the serious early and late …
Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for
predicting COVID-19 hospitalization and mortality using primary and secondary data …
predicting COVID-19 hospitalization and mortality using primary and secondary data …
[HTML][HTML] Using machine learning to predict mortality for COVID-19 patients on day 0 in the ICU
Rationale Given the expanding number of COVID-19 cases and the potential for new waves
of infection, there is an urgent need for early prediction of the severity of the disease in …
of infection, there is an urgent need for early prediction of the severity of the disease in …
[HTML][HTML] Blockchain-based COVID vaccination registration and monitoring
SS Nabil, MSA Pran, AA Al Haque… - Blockchain: Research …, 2022 - Elsevier
COVID-19 has changed almost all aspects of our lives. Governments around the world have
imposed lockdowns to slow down the transmissions. Fortunately, we have found the …
imposed lockdowns to slow down the transmissions. Fortunately, we have found the …
Expert consensus: main risk factors for poor prognosis in COVID-19 and the implications for targeted measures against SARS-CoV-2
FJ Candel, P Barreiro, M Salavert, A Cabello… - Viruses, 2023 - mdpi.com
The clinical evolution of patients infected with the Severe Acute Respiratory Coronavirus
type 2 (SARS-CoV-2) depends on the complex interplay between viral and host factors. The …
type 2 (SARS-CoV-2) depends on the complex interplay between viral and host factors. The …
Comparing of data mining techniques for predicting in-hospital mortality among patients with covid-19
M Shanbehzadeh, A Orooji… - … of Biostatistics and …, 2021 - publish.kne-publishing.com
Introduction: The COVID-19 epidemic is currently fronting the worldwide health care systems
with many qualms and unexpected challenges in medical decision-making and the effective …
with many qualms and unexpected challenges in medical decision-making and the effective …
[HTML][HTML] Coronavirus diagnosis using cough sounds: Artificial intelligence approaches
Method In this research, Supervised Learning classification algorithms have been used,
which include Support Vector Machine (SVM), random forest, and Artificial Neural Networks …
which include Support Vector Machine (SVM), random forest, and Artificial Neural Networks …
Generalizable prediction of COVID-19 mortality on worldwide patient data
Abstract Objective Predicting Coronavirus disease 2019 (COVID-19) mortality for patients is
critical for early-stage care and intervention. Existing studies mainly built models on datasets …
critical for early-stage care and intervention. Existing studies mainly built models on datasets …