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 …
Iron metabolism in infections: Focus on COVID-19
D Girelli, G Marchi, F Busti, A Vianello - Seminars in hematology, 2021 - Elsevier
Iron is a micronutrient essential for a wide range of metabolic processes in virtually all living
organisms. During infections, a battle for iron takes place between the human host and the …
organisms. During infections, a battle for iron takes place between the human host and the …
Application of machine learning in predicting survival outcomes involving real-world data: a scoping review
Background Despite the interest in machine learning (ML) algorithms for analyzing real-
world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common …
world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of …
G Lăzăroiu, T Gedeon, E Rogalska… - Oeconomia …, 2024 - cejsh.icm.edu.pl
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
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 …
Machine learning-based mortality prediction models for smoker COVID-19 patients
Background The large number of SARS-Cov-2 cases during the COVID-19 global pandemic
has burdened healthcare systems and created a shortage of resources and services. In …
has burdened healthcare systems and created a shortage of resources and services. In …
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 …
Early and fair COVID-19 outcome risk assessment using robust feature selection
Personalized medicine plays an important role in treatment optimization for COVID-19
patient management. Early treatment in patients at high risk of severe complications is vital …
patient management. Early treatment in patients at high risk of severe complications is vital …
AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID …
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity
burden that may exceed diagnosis and management capabilities. The situation worsens …
burden that may exceed diagnosis and management capabilities. The situation worsens …