As big data and data mining technology advance, research on the collection and analysis of
medical data on the internet of medical things (IoMT) has gained increasing attention …

Recently, as the paradigm of medical services has shifted from treatment to prevention, there
is a growing interest in smart healthcare that can provide users with healthcare services …

As the volume of medical data mining increases, so do the need to preserve patient privacy.
And the exposure of medical data may degrade the level of health care service and reduce …

Frequency estimation of physical symptoms for peoples is the most direct way to analyze
and predict infectious diseases. In Internet of medical Things (IoMT), it is efficient and …

The collection of medical data and personal health data is taking place in diverse locations
due to the development of IoT technology. This has created possibilities for using medical …

Abstract Machine learning methods promote the sustainable development of wise
information technology of medicine (WITMED), and a variety of medical data brings high …

The rapid development of mobile technology has improved users' quality of treatment, and
tremendous amounts of medical information are readily available and widely used in data …

Available data may differ from true data in many cases due to sensing errors, especially for
the Internet of Things (IoT). Although privacy-preserving data mining has been widely …

Data stream collection is critical to analyze service conditions and detect anomalies in time,
especially in Internet of Things. However, it may undermine the individual privacy. Local …

The edge computing paradigm has revolutionized the healthcare sector, providing more real-
time medical data processing and analysis, which also poses more serious privacy and …