AIMC Topic: COVID-19
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The gut microbiome associates with phenotypic manifestations of post-acute COVID-19 syndrome.
Cell host & microbe
Apr 23, 2024
The mechanisms underlying the many phenotypic manifestations of post-acute COVID-19 syndrome (PACS) are poorly understood. Herein, we characterized the gut microbiome in heterogeneous cohorts of subjects with PACS and developed a multi-label machine ...
Generalizing the application of machine learning predictive models across different populations: does a model to predict the use of renal replacement therapy in critically ill COVID-19 patients apply to general intensive care unit patients?
Critical care science
Apr 22, 2024
COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal.
Sensors (Basel, Switzerland)
Apr 20, 2024
Coronavirus disease 2019 (COVID-19), originating in China, has rapidly spread worldwide. Physicians must examine infected patients and make timely decisions to isolate them. However, completing these processes is difficult due to limited time and ava...
Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.
Frontiers in public health
Apr 18, 2024
INTRODUCTION: Obesity and gender play a critical role in shaping the outcomes of COVID-19 disease. These two factors have a dynamic relationship with each other, as well as other risk factors, which hinders interpretation of how they influence severi...
Multitask Adversarial Networks Based on Extensive Nonlinear Spiking Neuron Models.
International journal of neural systems
Apr 17, 2024
Deep learning technology has been successfully used in Chest X-ray (CXR) images of COVID-19 patients. However, due to the characteristics of COVID-19 pneumonia and X-ray imaging, the deep learning methods still face many challenges, such as lower ima...
Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.
Journal of racial and ethnic health disparities
Apr 16, 2024
PURPOSE: This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processin...
ISMI-VAE: A deep learning model for classifying disease cells using gene expression and SNV data.
Computers in biology and medicine
Apr 16, 2024
Various studies have linked several diseases, including cancer and COVID-19, to single nucleotide variations (SNV). Although single-cell RNA sequencing (scRNA-seq) technology can provide SNV and gene expression data, few studies have integrated and a...
The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications.
Artificial intelligence in medicine
Apr 16, 2024
The COVID-19 pandemic has given rise to a broad range of research from fields alongside and beyond the core concerns of infectiology, epidemiology, and immunology. One significant subset of this work centers on machine learning-based approaches to su...
Artificial intelligence and machine learning responses to COVID-19 related inquiries.
Journal of medical engineering & technology
Apr 16, 2024
Researchers and scientists can use computational-based models to turn linked data into useful information, aiding in disease diagnosis, examination, and viral containment due to recent artificial intelligence and machine learning breakthroughs. In th...
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations.
F1000Research
Apr 16, 2024
BACKGROUND: Sentiments and opinions regarding COVID-19 and the COVID-19 vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, and thus were aimed at our study. We also analyzed fake news and facts, and Twitter e...
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