Emergency situation monitoring service using context motion tracking of chronic disease patients

Towards Ubiquitous Health with Convergence

“…In particular, an increasing number of people are showing a keen interest in health and happiness, which is due to the emergence of new diseases and an increase in life expectancy caused by economic growth and technology development. The search for an efficient way to respond to this increasing interest in health and wellness puts ubiquitous health services in the spotlight [1][2][3][4]. The main goal is to be a timely vehicle for publishing selected research papers on this emerging topic from practitioners and academia in different industries.…”

Knowledge-based System and Security

“…The main goal for this special issue is to be a timely vehicle for publishing selected research papers from academia and practitioners in different industries on this emerging topic. Knowledge-based security systems are developed to ensure computer virology-making by effectively using timely and appropriate knowledge base, security management, hacking techniques for convergence [11][12][13][14]. This special issue covers some of the hottest topics in knowledge-based system and security, including: Privacy and authentication for wireless network; Convergence security in ubiquitous computing; Algorithmic and computer virology; Innovative applications of ubiquitous computing; Intelligent applications for security processing; Hacking, Knowledge processing algorithms; User experience in knowledge security systems, embedded systems security; Personalization, privacy, computer virology, Information indexing; computer virology; Cryptology and embedded systems; Security applications in computer virology.…”

Knowledge based decision support system

“…Depending on the criteria, there are various classifications. Based on the knowledge used for deduction, data is classified into knowledge-based systems using dictionary-defined knowledge, and non-knowledge-based systems using machine learning and multi-dimensional statistical pattern recognition techniques [1][2][3] The paper by Lee et al[4] presents a clinical decision support system in medical knowledge literature reviews. They propose a method to increase performance and efficiency in a clinical decision support system (CDSS), and enhance the understanding of the CDSS for better health management among physicians and patients.…”

“…Depending on the criteria, there are various classifications. Based on the knowledge used for deduction, data is classified into knowledge-based systems using dictionary-defined knowledge, and non-knowledge-based systems using machine learning and multi-dimensional statistical pattern recognition techniques [1][2][3] The paper by Lee et al…”