In the modern world, health informatics is the inevitable development trend of the medical industry. From individual patient information queries to the allocation of thousands of resources and staff, all the information operations involved are part of the process of health informatics. In recent decades, computing hardware and software have continued to grow exponentially. Furthermore, breakthroughs in operational navigation and the arrival of the era of big data have helped us to find better solutions for human healthcare information needs.

However, there are still some challenging problems in providing a better service. For most given problems, multi-objective optimization and data mining can provide the optimal solution. In this regard, machine learning such as artificial neural networks, deep learning, evolutionary and genetic algorithms are some of the other well-established techniques we can explore for solutions generation. In the medical industry, using these algorithms can help hospitals to find the potential factors which affect patients’ health more accurately, as well as improve medical diagnostics and patient-specific surgical procedures. It can also identify health trends that bridge the gaps among fragments of seemingly unrelated information. In addition, the process of information management also promotes the development of bioinformatics, including membrane computing, gene expressions, genetic computing, etc. These new technologies can offer much higher quality and personalized services for patients.

This Special Issue focuses on the applications of operational navigation and medical data mining to address the problems in the medical domain, covering the solutions for specific problems and finding the potential correlation between diseases and their causative factors, and precision methods for more accurate diagnostics. The main goal of this Special Issue is to provide an overview of the current state-of-the-art advances in health informatics. We invite submissions on the applications of computer algorithms in operational navigation, big data technology, and medical informatics. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Biomedical engineering modeling of biological and physiological systems
• Big data mining techniques in the medical domain, such as the collection, analysis, learning, and processing of widely used medical data through wearable devices
• Computer methods in medical diagnostics and surgical procedures
• Computation theory in operation knowledge discovery
• Data integration and intelligent decisions of operational navigation
• Management of biomedical data to assist with clinical decision-making and therapy guidance
• Intelligent program applications to provide online information for medical consultants in diagnosis, therapy planning, treatment follow-ups, etc
• Medical intelligent analysis for operational and information management
• Computation theory in operation knowledge discovery
• Intelligent registration of surgical process and design of intelligent surgical navigation systems