Recent years have witnessed widespread adoption of machine learning (ML)/deep learning
(DL) techniques due to their superior performance for a variety of healthcare applications …

Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …

The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …

Machine learning (ML) techniques have been widely used in many smart city sectors, where
a huge amount of data is gathered from various (IoT) devices. As a typical ML model …

In this digital era expectations for medical quality have increased. As the number of patients
continues to increase, conventional health care methods are having to deal with new …

We describe a new deep learning model-Convolutional eXtreme Gradient Boosting
(ConvXGB) for classification problems based on convolutional neural nets and Chen et al.'s …

Decision tree classification has become a prevailing technique for online diagnosis services.
By outsourcing computation intensive tasks to a cloud server, cloud-assisted online …

The speed and pace of the transmission of severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2; also referred to as novel Coronavirus 2019 and COVID-19) have resulted in …

In recent years, with the popularity of smart wearable devices, online diagnosis is becoming
a promising medical technology and therefore promotes the progress of digital healthcare …

Disease prediction systems have played an important role in people's life, since predicting
the risk of diseases is essential for people to lead a healthy life. The recent proliferation of …