AIMC Topic: Pandemics
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Predicting the Utility of Scientific Articles for Emerging Pandemics Using Their Titles and Natural Language Processing.
Disaster medicine and public health preparedness
May 10, 2024
OBJECTIVE: Not all scientific publications are equally useful to policy-makers tasked with mitigating the spread and impact of diseases, especially at the start of novel epidemics and pandemics. The urgent need for actionable, evidence-based informat...
Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework.
PloS one
May 1, 2024
Today, supply chain (SC) networks are facing more disruptions compared to the past. While disruptions are rare, they can have catastrophic long-term economic or societal repercussions, and the recovery processes can be lengthy. These can tremendously...
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...
Impact of COVID-19 on arthritis with generative AI.
International immunopharmacology
Apr 11, 2024
OBJECTIVE: The study aims to examine the effects of the COVID-19 pandemic on the prevalence of arthritis in the US using a specific generative AI tool.
Hierarchical Convolutional Attention Network for Depression Detection on Social Media and Its Impact During Pandemic.
IEEE journal of biomedical and health informatics
Apr 4, 2024
People across the globe have felt and are still going through the impact of COVID-19. Some of them share their feelings and suffering online via different online social media networks such as Twitter. Due to strict restrictions to reduce the spread o...
Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.
Artificial intelligence in medicine
Apr 1, 2024
The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The virus first originated in Wuhan (China) and rapidly affected most of th...
Explainable prediction of problematic smartphone use among South Korea's children and adolescents using a Machine learning approach.
International journal of medical informatics
Mar 30, 2024
BACKGROUND: Korea is known for its technological prowess, has the highest smartphone ownership rate in the world at 95%, and the smallest gap in smartphone ownership between generations. Since the onset of the COVID-19 pandemic, problematic smartphon...
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