Application of Data Analytics in Smart Healthcare

Dear Colleagues,

In recent years, the rapid increase of digitalization and emerging technology appearing in the healthcare sector has contributed to the improvement of patient care and attention. Various technologies, such as the Internet of Medical Things (IoMT), wearable devices, a huge amount of healthcare data (eHealth Big Data), smart monitoring systems, and machine learning data analysis systems are being generated in more formats than ever before. Additionally, the scope and need of data analytics has become greater due to the rapid use of new software and technologies that make it easier to examine large volumes of data for hidden details. All these emerging technologies could be combined under the “management” of software solutions, that is, the smart applications. Applications could include data analytics for preventing diseases by the early recognition of risks, and tools recommending preventive plans. Moreover, another use of these applications is medical imaging, wherein the algorithms efficiently interpret X-rays, MRIs, mammograms, and other types of images, helping in the identification of patterns in the data and the detection of tumors and organ anomalies. Additionally, these applications could represent the future of smart healthcare because they could be used for treating home-based patients. The application of data analytics in remote in-home monitoring makes it easier for doctors to stay in touch with patients.

Topics of interest include but are not limited to the following:

• Smart Monitoring systems for healthcare;
• Health data collection and management in smart buildings;
• Internet of Things sensor management over a wireless network in smart buildings;
• Machine learning medical big data analytics in the cloud;
• Internet of Things Sensor networks in artificial intelligence;
• Machine learning with big data for smart healthcare;
• Big data for the Internet of Medical Things;
• Challenges and applications of big data in smart healthcare systems;
• Security and privacy issues in Internet of Medical Things-enabled systems.

Prof. Dr. Konstantinos E. Psannis
Dr. Christos L. Stergiou
Guest Editors

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