In the pandemic time, the monitoring of the progression of some diseases is affected and
rehabilitation is more complicated. Remote monitoring may help solve this problem using …

Ambient-assisted living (AAL) is promising to become a supplement of the current care
models, providing enhanced living experience to people within context-aware homes and …

Customer churn prediction is widely used to detect potential churners, which stimulates
customer retention, and decrease churn loss. Most customer churn prediction models …

Rough set theory is an essential tool for measuring uncertainty, which has been widely
applied in attribute reduction algorithms. Most of the related researches focus on how to …

Background Assessment of health benefits associated with physical activity depend on the
activity duration, intensity and frequency, therefore their correct identification is very valuable …

The ability to analyze the available data is a valuable asset for any successful business,
especially when the analysis yields meaningful knowledge. One of the key processes for …

Background Suicide has emerged as a critical public health concern during the COVID-19
pandemic. With social distancing measures in place, social media has become a significant …

Automatic text classification is the key technology to process and organize large-scale text
data. It is well known that the high dimensionality of feature space is a main challenge for …

Pneumonia caused by COVID-19 is a severe health risk that sometimes leads to fatal
outcomes. Due to constraints in medical care systems, technological solutions should be …

Electrocardiography (ECG) and electroencephalography (EEG) are powerful tools in
medicine for the analysis of various diseases. The emergence of affordable ECG and EEG …