AIMC Topic: Surveys and Questionnaires

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Dynamic Database Design of Sports Quality Based on Genetic Data Algorithm and Artificial Intelligence.

Computational intelligence and neuroscience
According to the traditional data mining method, it is no longer applicable to obtain knowledge from the database, and the knowledge mined in the past must be constantly updated. In the last few years, Internet technology and cloud computing technolo...

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy.

Rheumatology international
Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. The aim of this study was to compare the accuracy of an artificial intelligence (AI)-based symptom checker (Ada) and physicians regarding the presence/...

Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire.

Computational and mathematical methods in medicine
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20-64 years) from Tokyo and surrounding areas were recruited...

Explainable, trustworthy, and ethical machine learning for healthcare: A survey.

Computers in biology and medicine
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The black-box nature of various...

Emotional reactions to infertility diagnosis: thematic and natural language processing analyses of the 1000 Dreams survey.

Reproductive biomedicine online
RESEARCH QUESTION: What are the emotional effects of infertility on patients, partners, or both, and how can qualitative thematic analyses and natural language processing (NLP) help evaluate textual data?

Physiological and perceptual consequences of trust in collaborative robots: An empirical investigation of human and robot factors.

Applied ergonomics
Measuring trust is an important element of effective human-robot collaborations (HRCs). It has largely relied on subjective responses and thus cannot be readily used for adapting robots in shared operations, particularly in shared-space manufacturing...

Street Landscape Planning and Design Guided by Artificial Intelligence Interactive Experience.

Computational intelligence and neuroscience
As an important part of the city, urban streets have always played an active role in carrying public needs and optimizing public living spaces. They are also important to open public spaces in the city. In addition, with technology integration and li...

Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study.

Journal of medical Internet research
BACKGROUND: The ever-growing amount of health information available on the web is increasing the demand for tools providing personalized and actionable health information. Such tools include symptom checkers that provide users with a potential diagno...

Analysis of College Students' Network Moral Behavior by the History of Ideological and Political Education under Deep Learning.

Computational intelligence and neuroscience
The research on the history of ideological and political education (IPE) is the basis for deepening it, and it is also of great help to higher education. The diversity of network information also easily leads to poor guidance for college students who...