Review on the evaluation and development of artificial intelligence for COVID-19 containment
Artificial intelligence has significantly enhanced the research paradigm and spectrum with a
substantiated promise of continuous applicability in the real world domain. Artificial …
substantiated promise of continuous applicability in the real world domain. Artificial …
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 …
Diagnosing COVID-19 using artificial intelligence: A comprehensive review
Abstract In early March 2020, the World Health Organization (WHO) proclaimed the novel
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
COVID-19 as a global pandemic. The coronavirus went on to be a life-threatening infection …
Using machine learning in prediction of ICU admission, mortality, and length of stay in the early stage of admission of COVID-19 patients
S Saadatmand, K Salimifard, R Mohammadi… - Annals of Operations …, 2023 - Springer
The recent COVID-19 pandemic has affected health systems across the world. Especially,
Intensive Care Units (ICUs) have played a pivotal role in the treatment of critically-ill patients …
Intensive Care Units (ICUs) have played a pivotal role in the treatment of critically-ill patients …
A novel group recommender system for domain-independent decision support customizing a grouping genetic algorithm
Group formation is a complex task requiring computational support to succeed. In the
literature, there has been considerable effort in the development of algorithms for composing …
literature, there has been considerable effort in the development of algorithms for composing …
Unstructured clinical notes within the 24 hours since admission predict short, mid & long-term mortality in adult ICU patients
Mortality prediction for intensive care unit (ICU) patients is crucial for improving outcomes
and efficient utilization of resources. Accessibility of electronic health records (EHR) has …
and efficient utilization of resources. Accessibility of electronic health records (EHR) has …
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 …
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 …
Exploring the clinical benefit of ventilation therapy across various patient groups with COVID-19 using real-world data
Scarcity of ventilators during COVID-19 pandemic has urged public health authorities to
develop prioritization recommendations and guidelines with the real-time decision-making …
develop prioritization recommendations and guidelines with the real-time decision-making …
Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study
Medical machine learning frameworks have received much attention in recent years. The
recent COVID-19 pandemic was also accompanied by a surge in proposed machine …
recent COVID-19 pandemic was also accompanied by a surge in proposed machine …