In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …

Prediction model has been the focus of studies since the last century in the diagnosis and
prognosis of various diseases. With the advancement in computational technology, machine …

It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is
associated with a high risk of death, as well as severe morbidity and disability. There is an …

Background Electronic health records (EHRs) contain patients' health information over time,
including possible early indicators of disease. However, the increasing amount of data …

Artificial intelligence (AI) and wearable sensors are gradually transforming healthcare
service delivery from the traditional hospital-centred model to the personal-portable-device …

The generation of a huge volume of structured, semi-structured and unstructured real-time
health monitoring data and its storage in the form of electronic health records (EHRs) need …

Cardiovascular diseases (CVDs) are common diseases that impact the heart or vascular
system. Since early discovery significantly improves survival chances, precise prediction …

Aims Existing electronic health records (EHRs) often consist of abundant but irregular
longitudinal measurements of risk factors. In this study, we aim to leverage such data to …

The global prevalence of cardiovascular diseases (CVDs) as a leading cause of death
highlights the imperative need for refined risk assessment and prognostication methods. The …

Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the
need for improved risk predictive models for primary prevention. Machine learning (ML) …