The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …

In the past decades there has been a substantial evolution in data management and data
processing techniques. New data architectures made analysis of big data feasible …

Aims Non-linear models by machine learning may identify different risk factors with different
weighting in comparison to conventional linear models. Methods and results The analyses …

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 identification and prognosis of the potential for developing Cardiovascular Diseases
(CVD) in healthy individuals is a vital aspect of disease management. Accessing the …

Over the past decade, there has been explosive growth in the amount of healthcare-related
data generated and interest in harnessing this data for research purposes and informing …

Cardiovascular diseases (CVD) have recently outdid all other reasons of death universal in
both developing and developed nations. Initial detection of cardiac conditions and …

Background Non-communicable diseases such as type 2 diabetes mellitus (T2DM) and
coronary artery disease (CAD) are causing a significant burden on the human health care …

Artificial intelligence (AI)-based applications have found widespread applications in many
fields of science, technology, and medicine. The use of enhanced computing power of …

Background Cardiovascular disease is life-threatening yet preventable for patients with type
2 diabetes mellitus (T2DM). Because each patient with T2DM has a different risk of …