Bibliometrics analysis of mHealth and AI to discover the concept of AI in the field of mHealth - Fondation France-Japon de l'EHESS
Pré-Publication, Document De Travail Année : 2022

Bibliometrics analysis of mHealth and AI to discover the concept of AI in the field of mHealth

Résumé

Smartphones have become an integral part of our lives with a diverse selection of apps. The continuous upgrade of information technology has enabled smartphones to display potential in the field of health care. First, we analyzed the research trends and the latest research hotspots in mobile health to understand the global trends. This chapter collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. We constructed visualization network maps of country collaborations and author-provided keyword co-occurrences, as well as overlay visualization maps of the average publication year of author-provided keywords to analyze the hotspots and research trends in mHealth research. In total, 12,593 mHealth-related research papers were extracted. The research trends revealed a gradual shift in mHealth research from health policy and improving public health care to the development and social application of mHealth technologies. To the best of our knowledge, the most current bibliometric analysis dates back to 2016. The results of this study shed light on the latest hotspots and trends in mHealth research. These findings provide a useful overview for researchers in the digital health field.
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halshs-03922521 , version 1 (04-01-2023)

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  • HAL Id : halshs-03922521 , version 1

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Kota Kodama. Bibliometrics analysis of mHealth and AI to discover the concept of AI in the field of mHealth. 2022. ⟨halshs-03922521⟩

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