Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …

Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …

Electronic health records (EHR) are patient-level information, eg, laboratory tests and
questionnaires, stored in electronic format. Compared to physical records, the EHR …

At the beginning of the COVID-19 pandemic, there was significant hype about the potential
impact of artificial intelligence (AI) tools in combatting COVID-19 on diagnosis, prognosis, or …

Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels
and according to World Health Organization is the leading cause of death worldwide. EHR …

It is important to estimate the global network traffic data from partial traffic measurements for
many network management tasks, including status monitoring and fault detection. However …

ABSTRACT Industrial Internet of Things (IIoT) is a rapidly growing field, where
interconnected devices and systems are used to improve operational efficiency and …

Background: Seafarers are vulnerable to suffer from various mental health disorders, most
commonly anxiety and depression. So, periodic screening for anxiety and depression, is …

By using machine learning algorithms, banks and other lending institutions can construct
intelligent risk control models for loan businesses, which helps to overcome the …

Electronic health records (EHR) are patient-level information, eg, laboratory tests and
questionnaires, stored in electronic format. Compared to physical records, the EHR …