scholarly journals Application of Artificial Intelligence in the Establishment of an Association Model between Metabolic Syndrome, TCM Constitution, and the Guidance of Medicated Diet Care

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Pei- Li Chien ◽  
Chi-Feng Liu ◽  
Hui-Ting Huang ◽  
Hei-Jen Jou ◽  
Shih-Ming Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Metabolic Syndrome ◽  
Laboratory Data ◽  
Risk Indicators ◽  
Syndrome Differentiation ◽  
Health Examination ◽  
Exploratory Research ◽  
Association Model ◽  
The Future ◽  
Northern Taiwan

Background. This study conducted exploratory research using artificial intelligence methods. The main purpose of this study is to establish an association model between metabolic syndrome and the TCM (traditional Chinese medicine) constitution using the characteristics of individual physical examination data and to provide guidance for medicated diet care. Methods. Basic demographic and laboratory data were collected from a regional hospital health examination database in northern Taiwan, and artificial intelligence algorithms, such as logistic regression, Bayesian network, and decision tree, were used to analyze and construct the association model between metabolic syndrome and the TCM constitution. Findings. It was found that the phlegm-dampness constitution (90.6%) accounts for the majority of TCM constitution classifications with a high risk of metabolic syndrome, and high cholesterol, blood glucose, and waist circumference were statistically significantly correlated with the phlegm-dampness constitution. This study also found that the age of patients with metabolic syndrome has been advanced, and shift work is one of the risk indicators. Therefore, based on the association model between metabolic syndrome and TCM constitution, in the future, metabolic syndrome can be predicted through the syndrome differentiation of the TCM constitution, and relevant medicated diet care schemes can be recommended for improvement. Conclusion. In order to increase the public’s knowledge and methods for mitigating metabolic syndrome, in the future, nursing staff can provide nonprescription medicated diet-related nursing guidance information via the prediction and assessment of the TCM constitution.

scholarly journals Social Media Marketing Experts’ Perceptions Regarding the Capabilities of a Future Artificial Intelligence Software

2021 ◽  
Vol 11 (3) ◽  
pp. 230-235
Author(s):  
Adrian Micu ◽  
◽  
Alexandru Capatina ◽  
Angela-Eliza Micu ◽  
Marius Geru ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Social Media Marketing ◽  
Social Media Analytics ◽  
Exploratory Research ◽  
Innovative Technologies ◽  
The Future

The increasing interest in Artificial Intelligence’s impact on Social Media Marketing creates huge opportunities for software providers, whose innovative technologies would be broadly implemented by marketers. This article outlines the results of an exploratory research focused on 100 Social Media Marketing experts (digital agencies’ owners, marketers and freelancers) that assessed the forthcoming AI Media software capabilities, based on social media analytics, reflecting audience, image and sentiment analyses. The goal of this paper is to analyze the ranking of twelve capabilities proposed for the future AI Media software, as they were perceived by the respondents included into the research sample.

On Sinofuturism

Screen Bodies ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 46-62
Author(s):  
Yunying Huang
Keyword(s):  
Artificial Intelligence ◽  
Pop Culture ◽  
Chinese People ◽  
Modern Chinese ◽  
The Future ◽  
Dominant Design ◽  
Urban Rural ◽  
Cultural Expressions ◽  
Contemporary Chinese

Dominant design narratives about “the future” contain many contemporary manifestations of “orientalism” and Anti-Chineseness. In US discourse, Chinese people are often characterized as a single communist mass and the primary market for which this future is designed. By investigating the construction of modern Chinese pop culture in Chinese internet and artificial intelligence, and discussing different cultural expressions across urban, rural, and queer Chinese settings, I challenge external Eurocentric and orientalist perceptions of techno-culture in China, positing instead a view of Sinofuturism centered within contemporary Chinese contexts.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Living machines in our cultural imagination

2018 ◽  
Author(s):  
Michael Szollosy
Keyword(s):  
Artificial Intelligence ◽  
Science Fiction ◽  
Public Perceptions ◽  
Human Condition ◽  
Cultural Imagination ◽  
The Public ◽  
The Enlightenment ◽  
The Future ◽  
Public Imagination ◽  
The Human Condition

Public perceptions of robots and artificial intelligence (AI)—both positive and negative—are hopelessly misinformed, based far too much on science fiction rather than science fact. However, these fictions can be instructive, and reveal to us important anxieties that exist in the public imagination, both towards robots and AI and about the human condition more generally. These anxieties are based on little-understood processes (such as anthropomorphization and projection), but cannot be dismissed merely as inaccuracies in need of correction. Our demonization of robots and AI illustrate two-hundred-year-old fears about the consequences of the Enlightenment and industrialization. Idealistic hopes projected onto robots and AI, in contrast, reveal other anxieties, about our mortality—and the transhumanist desire to transcend the limitations of our physical bodies—and about the future of our species. This chapter reviews these issues and considers some of their broader implications for our future lives with living machines.

Welcome to the marriage of human capability and artificial intelligence

2019 ◽  
Vol 19 (1) ◽  
pp. 10-14
Author(s):  
Ryan Scott ◽  
Malcolm Le Lievre
Keyword(s):  
Artificial Intelligence ◽  
Team Building ◽  
Workplace Change ◽  
Content Type ◽  
The Future ◽  
Human Capability ◽  
Mind Set ◽  
Future Work ◽  
Crucial Part ◽  
Practical Implications

Purpose The purpose of this paper is to explore insights methodology and technology by using behavioral to create a mind-set change in the way people work, especially in the age of artificial intelligence (AI). Design/methodology/approach The approach is to examine how AI is driving workplace change, introduce the idea that most organizations have untapped analytics, add the idea of what we know future work will look like and look at how greater, data-driven human behavioral insights will help prepare future human-to-human work and inform people’s work with and alongside AI. Findings Human (behavioral) intelligence will be an increasingly crucial part of behaviorally smart organizations, from hiring to placement to adaptation to team building, compliance and more. These human capability insights will, among other things, better prepare people and organizations for changing work roles, including working with and alongside AI and similar tech innovation. Research limitations/implications No doubt researchers across the private, public and nonprofit sectors will want to further study the nexus of human capability, behavioral insights technology and AI, but it is clear that such work is already underway and can prove even more valuable if adopted on a broader, deeper level. Practical implications Much “people data” inside organizations is currently not being harvested. Validated, scalable processes exist to mine that data and leverage it to help organizations of all types and sizes be ready for the future, particularly in regard to the marriage of human capability and AI. Social implications In terms of human capability and AI, individuals, teams, organizations, customers and other stakeholders will all benefit. The investment of time and other resources is minimal, but must include C-suite buy in. Originality/value Much exists on the softer aspects of the marriage of human capability and AI and other workplace advancements. What has been lacking – until now – is a 1) practical, 2) validated and 3) scalable behavioral insights tech form that quantifiably informs how people and AI will work in the future, especially side by side.

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