There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …

Aims We sought to investigate the prognostic impact of co-morbid burden as defined by the
Charlson Co-morbidity Index (CCI) in patients with a range of prevalent cardiovascular …

The proper management of a municipal water system is essential to sustain cities and
support the water security of societies. Urban water estimating has always been a …

Lists of clinical codes are the foundation for research undertaken using electronic medical
records (EMRs). If clinical code lists are not available, reviewers are unable to determine the …

Accurate and reliable urban water demand prediction is imperative for providing the basis to
design, operate, and manage water system, especially under the scarcity of the natural …

Justification Automatic brain tumor classification by MRS has been under development for
more than a decade. Nonetheless, to our knowledge, there are no published evaluations of …

Objectives Little is known about the prevalence of comorbidity rates in people with severe
mental illness (SMI) in UK primary care. We calculated the prevalence of SMI by UK country …

Chitosan nanoparticles (CT NPs) have attractive biomedical applications due to their unique
properties. This present research aimed at development of chitosan nanoparticles to be …

We investigate the learning of quantitative structure activity relationships (QSARs) as a case-
study of meta-learning. This application area is of the highest societal importance, as it is a …

Background Percutaneous coronary intervention (PCI) is the most common modality of
revascularization in patients with coronary artery disease. Understanding the readmission …