ReviewInternational journal of environmental research and public health2021
Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining.
Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Machine learning algorithms applied to the diagnosis of COVID-19 based on epidemiological, clinical, and laboratory data.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025Article
- The analysis of rural tourism image optimization under the internet of things and deep learning.Scientific reports · 2024Article
- Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study.Sensors (Basel, Switzerland) · 2024Review
- Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions.Future healthcare journal · 2024Article
- The analysis of educational informatization management learning model under the internet of things and artificial intelligence.Scientific reports · 2024Article
- A brief review and scientometric analysis on ensemble learning methods for handling COVID-19.Heliyon · 2024Article
- Article
- Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data.Multimedia tools and applications · 2023Article
- Olfactory and Gustatory Dysfunction in COVID-19: A Global Bibliometric and Visualized Analysis.The Annals of otology, rhinology, and laryngology · 2023Article
- Predicting intubation risk among COVID-19 hospitalized patients using artificial neural networks.Journal of education and health promotion · 2023Article
- A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detection.Expert systems with applications · 2022Article
- In-Depth Analysis of Physiologically Based Pharmacokinetic (PBPK) Modeling Utilization in Different Application Fields Using Text Mining Tools.Pharmaceutics · 2022Review
- European IoT Use in Homes: Opportunity or Threat to Households?International journal of environmental research and public health · 2022Article
- The Trends and Hotspots in Premature Ovarian Insufficiency Therapy from 2000 to 2022.International journal of environmental research and public health · 2022Review
- Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand "ThaiChana".International journal of environmental research and public health · 2022Article
- Factors Influencing the Perceived Effectiveness of COVID-19 Risk Assessment Mobile Application "MorChana" in Thailand: UTAUT2 Approach.International journal of environmental research and public health · 2022Article
- Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application "Thai Chana" during the Early COVID-19 Omicron Period.International journal of environmental research and public health · 2022Article
- Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace.Telematics and informatics · 2022Review
- Discovering temporal scientometric knowledge in COVID-19 scholarly production.Scientometrics · 2022Article
- Text classification technique for discovering country-based publications from international COVID-19 publications.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has wreaked havoc in every country in the world, with serious health-related, economic, and social consequences. Since its outbreak in March 2020, many researchers from different fields have joined forces to provide a wide range of solutions, and the support for this work from artificial intelligence (AI) and other emerging concepts linked to intelligent data analysis has been decisive. The enormous amount of research and the high number of publications during this period makes it difficult to obtain an overall view of the different applications of AI to the management of COVID-19 and an understanding of how research in this field has been evolving. Therefore, in this paper, we carry out a scientometric analysis of this area supported by text mining, including a review of 18,955 publications related to AI and COVID-19 from the Scopus database from March 2020 to June 2021 inclusive. For this purpose, we used VOSviewer software, which was developed by researchers at Leiden University in the Netherlands. This allowed us to examine the exponential growth in research on this issue and its distribution by country, and to highlight the clear hegemony of the United States (USA) and China in this respect. We used an automatic process to extract topics of research interest and observed that the most important current lines of research focused on patient-based solutions. We also identified the most relevant journals in terms of the COVID-19 pandemic, demonstrated the growing value of open-access publication, and highlighted the most influential authors by means of an analysis of citations and co-citations. This study provides an overview of the current status of research on the application of AI to the pandemic.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.