In medical field, previous patients' cases are extremely private as well as intensely valuable
to current disease diagnosis. Therefore, how to make full use of precious cases while not …

Clinical decision support system, which uses advanced data mining techniques to help
clinician make proper decisions, has received considerable attention recently. The …

In recent years, Internet of Things (IoT)-enabled health monitoring wearable devices have
become a trend in healthcare systems, regularly collecting vital sign data from patients and …

Abstract Internet of Things (IoT) connects various kinds of sensors and smart devices using
the internet to collect data. The adoption of IoT in medical care field will bring great …

With the rapid development of machine learning in the medical cloud system, cloud-assisted
medical computing provides a concrete platform for remote rapid medical diagnosis …

With the advances of machine learning algorithms and the pervasiveness of network
terminals, the online medical prediagnosis system, which can provide the diagnosis of …

With the help of patients' health data, e-healthcare providers can offer reliable data services
for better medical treatment. For example, the clinical pathway provides optimal detailed …

As the product of combining Internet of Things (IoT), cloud computing, and traditional
healthcare, Intelligent IoT Healthcare (IIoTH) brings us a lot of convenience, meanwhile …

Online diagnosis is one of the data services, which can use the machine learning model
placed on the cloud and collected physical data from internet of medical things (IoMT) for …

Nowadays, patients' physiological data and medical records are outsourced to the medical
cloud to help the patients and doctors to obtain valuable and reliable services, ie, diagnosis …