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 …
The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis
Y Xin, H Li, Y Zhou, Q Yang, W Mu, H Xiao… - BMC medical informatics …, 2023 - Springer
Background The purpose of this paper was to systematically evaluate the application value
of artificial intelligence in predicting mortality among COVID-19 patients. Methods The …
of artificial intelligence in predicting mortality among COVID-19 patients. Methods The …
Prediction of prognosis in COVID-19 patients using machine learning: A systematic review and meta-analysis
R Chen, J Chen, S Yang, S Luo, Z Xiao, L Lu… - International Journal of …, 2023 - Elsevier
Background Accurate prediction of prognostic outcomes in patients with COVID-19 could
facilitate clinical decision-making and medical resource allocation. However, little is known …
facilitate clinical decision-making and medical resource allocation. However, little is known …
Early routine biomarkers of SARS-CoV-2 morbidity and mortality: outcomes from an emergency section
FM Ceci, M Fiore, F Gavaruzzi, A Angeloni, M Lucarelli… - Diagnostics, 2022 - mdpi.com
Background. COVID-19 is a severe acute respiratory disease caused by SARS-CoV-2, a
virus belonging to the Coronaviridae family. This disease has spread rapidly around the …
virus belonging to the Coronaviridae family. This disease has spread rapidly around the …
Mitochondrial dysfunction in peripheral blood mononuclear cells as novel diagnostic tools for non-alcoholic fatty liver disease: visualizing relationships with known …
E Garrafa, A Segala, M Vezzoli, E Bottani, B Zanini… - Diagnostics, 2023 - mdpi.com
Non-alcoholic fatty liver disease (NAFLD) is a health emergency worldwide due to its high
prevalence and the lack of specific therapies. Noninvasive biomarkers supporting NAFLD …
prevalence and the lack of specific therapies. Noninvasive biomarkers supporting NAFLD …
Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality
As portable chest X-rays are an efficient means of triaging emergent cases, their use has
raised the question as to whether imaging carries additional prognostic utility for survival …
raised the question as to whether imaging carries additional prognostic utility for survival …
Looking back and beyond the 2017 diagnostic criteria for hypermobile Ehlers‐Danlos syndrome: A retrospective cross‐sectional study from an Italian reference center
M Ritelli, N Chiarelli, V Cinquina… - American Journal of …, 2024 - Wiley Online Library
The most common conditions with symptomatic joint hypermobility are hypermobile Ehlers‐
Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD). Diagnosing these …
Danlos syndrome (hEDS) and hypermobility spectrum disorders (HSD). Diagnosing these …
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 …
Blood Biomarkers from the Emergency Department Disclose Severe Omicron COVID-19-Associated Outcomes
F Pennacchia, E Rusi, WA Ruqa, MA Zingaropoli… - Microorganisms, 2023 - mdpi.com
Background: Since its outbreak, Coronavirus disease 2019 (COVID-19), a life-threatening
respiratory illness, has rapidly become a public health emergency with a devastating social …
respiratory illness, has rapidly become a public health emergency with a devastating social …
Predictive markers for clinical outcomes in a cohort of diabetic patients hospitalized for COVID-19
S Madaschi, E Resmini, S Bonfadini, G Massari… - Diabetology & Metabolic …, 2022 - Springer
Introduction The role of glycemic control, both prior and during hospitalization, on mortality
from COVID-19 in diabetic patients is debated. Furthermore, it is not clear whether …
from COVID-19 in diabetic patients is debated. Furthermore, it is not clear whether …