The growth of smart healthcare has produced the exponential rise of biomedical data and further leads the new challenges in terms of signal analysis, data storage, data retrieval, and image analysis as well as the effective delivery of the results. Applying Internet of Medical Things and computational intelligence in Healthcare 4.0 benefits to obtain improved faster performance, data administration and a high level of accuracy. This trend supports the development of novel Healthcare 4.0 services that can benefit both the healthcare providers and users to transfer toward demanding and researching modified, practical, and analytical healthcare models. More impending of the powerful combination of IoMT, computational intelligence, and healthcare 4.0 is worth discovering.
The aim of this Research Topic is to solicit original research articles, in particular, focusing on the application of the Internet of Medical things, computational models, machine learning, and data mining algorithms dealing with biomedical problems, and model healthcare data. Submissions discussing the most important and relevant advances to overcome the challenges related to complex biomedical data analytics and processing via IoMT are welcome. Particularly, authors are encouraged to submit research considering current and potential applications for big complex healthcare systems. Review articles describing the recent methodological advances related to one of the different medical specialties are also welcome.
• Computational intelligence techniques for Internet of Medical Things (IoMT)
• Recognition and optimization methods for IoMT
• Soft computing approaches for MIoT
• Deep learning and machine learning algorithms for efficient management of Biomedical Data
• Computational intelligence in IoMT cognitive medical systems for smart healthcare
• AI and IoT based Architecture in Healthcare Industry
• Modern Machine Learning and IoT Applications for Personalized Healthcare
• IoT – Architecture Vulnerabilities and Security Measures
• Security and privacy aspect of AI, IoT in Healthcare Industry
• Big Data for IoMT
The growth of smart healthcare has produced the exponential rise of biomedical data and further leads the new challenges in terms of signal analysis, data storage, data retrieval, and image analysis as well as the effective delivery of the results. Applying Internet of Medical Things and computational intelligence in Healthcare 4.0 benefits to obtain improved faster performance, data administration and a high level of accuracy. This trend supports the development of novel Healthcare 4.0 services that can benefit both the healthcare providers and users to transfer toward demanding and researching modified, practical, and analytical healthcare models. More impending of the powerful combination of IoMT, computational intelligence, and healthcare 4.0 is worth discovering.
The aim of this Research Topic is to solicit original research articles, in particular, focusing on the application of the Internet of Medical things, computational models, machine learning, and data mining algorithms dealing with biomedical problems, and model healthcare data. Submissions discussing the most important and relevant advances to overcome the challenges related to complex biomedical data analytics and processing via IoMT are welcome. Particularly, authors are encouraged to submit research considering current and potential applications for big complex healthcare systems. Review articles describing the recent methodological advances related to one of the different medical specialties are also welcome.
• Computational intelligence techniques for Internet of Medical Things (IoMT)
• Recognition and optimization methods for IoMT
• Soft computing approaches for MIoT
• Deep learning and machine learning algorithms for efficient management of Biomedical Data
• Computational intelligence in IoMT cognitive medical systems for smart healthcare
• AI and IoT based Architecture in Healthcare Industry
• Modern Machine Learning and IoT Applications for Personalized Healthcare
• IoT – Architecture Vulnerabilities and Security Measures
• Security and privacy aspect of AI, IoT in Healthcare Industry
• Big Data for IoMT
