Applications of Artificial Intelligence in Public Health Risk
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 226
Special Issue Editor
Interests: emotional calculation; affective computing; natural language processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In this Special Issue, we will focus not only on applied research on data mining and web mining technologies for the detection of infectious diseases and hoax information related to infectious diseases in public health. We will dedicate addition attention to platforming research into discovering correct knowledge from a huge amount of data (big data) about the factors that pose the risks of developing lifestyle-related diseases and applying the latest artificial intelligence technologies to the study of these illnesses. We invite research papers on the latest findings that clarify factors that contribute to the risk of developing lifestyle-related diseases by using the latest artificial intelligence technologies and also welcome the submissions of review papers and review articles that provide comprehensive explanations of important findings related to this theme.
- Knowledge discovery on hygiene in nursing practice;
- Knowledge discovery related to infection control, care and therapy;
- Public health risk management systems applying artificial intelligence;
- Public health data management using artificial intelligence techniques;
- Knowledge extraction technology for infection prevention measures integrating data on the web and medical record data;
- AI-applied risk detection technology for early detection of lifestyle-related diseases;
- Discovery of effective sharing methods to prevent infection in the home;
- Simulation and prediction of population immunity acquisition from big data;
- Prediction of public health risks by integrating multimodal information;
- Case studies of lifestyle prevention practices through robots and AI.
Dr. Kazuyuki Matsumoto
Guest Editor
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Keywords
- artificial intelligence, AI
- infection control
- nursing
- treatment
- detection
- big data
- health maintenance support
- mental health care
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