Artificial Intelligence and Its Applications in Health Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Practice in Social Science".
Deadline for manuscript submissions: closed (15 November 2022) | Viewed by 4032
Special Issue Editor
Interests: computational surgery; medical image analysis; biomechanical analysis; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emergence of artificial intelligence (AI)/machine learning resulted in dramatic improvements for systems engineering management, systems-based project planning in urban settings, health systems, environmental management and complex social systems. With recent advancements in health informatics, the health systems data have grown exponentially, and the nature of such big data is increasingly complex. There are many advantages to be gained with the application in healthcare of advances in machine learning and big data; however, there are many challenges in providing systems accurate enough to be useful to clinicians and patients. Not only are large amounts of data available, but sensitivity and specificity must be paid special attention, as well as ensuring support systems fit rationally into the health system. Recently, machine learning has been applied for effectively predicting the disease spread trends from public health data. Intelligent assisted computational models of user information preferences and interaction behaviors in health systems may also be designed. The aim of this Special Issue is to gather new advances in the use of artificial intelligence in health systems. We welcome both original research and review articles.
Dr. Guangming Zhang
Guest Editor
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Keywords
• Environmental Health
• Big data
• Machine learning
• Healthcare informatics
• Cluster and Classification
• Computational models.
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