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Manh-Toan Ho

Publications -  70
Citations -  1359

Manh-Toan Ho is an academic researcher. The author has contributed to research in topics: Vietnamese & Computer science. The author has an hindex of 13, co-authored 62 publications receiving 827 citations.

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Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study

TL;DR: A first and comprehensive picture of the global efforts directed towards this increasingly important and prolific field of research is offered and the development of global and national protocols and regulations on the justification and adaptation of medical AI products are suggested.
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Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The vietnam lessons

TL;DR: A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items.
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Cultural additivity: behavioural insights from the interaction of Confucianism, Buddhism and Taoism in folktales

TL;DR: In this paper, the authors proposed three models of additivity for religious faiths: no additivity, simple additivity and complex additivity to evaluate how the values and norms of the aforementioned three religions coexist, interact, and influence Vietnamese society.
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Covid-19 vaccines production and societal immunization under the serendipity-mindsponge-3D knowledge management theory and conceptual framework

TL;DR: In this article , the authors attempted to revisit the Covid-19 vaccines production process by employing the serendipity-mindsponge-3D creativity management theory and found that the vaccine creativity management process could be used as critical lessons for further improvements of vaccination programs.
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Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons

TL;DR: A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items as mentioned in this paper.