To compare different deep learning architectures for predicting the risk of readmission within
30 days of discharge from the intensive care unit (ICU). The interpretability of attention …

Disease diagnosis is an important function in a medical training system, an integrated
system which is aimed at providing the necessary skills and know-how to health …

Electronic health records (EHR) contain patients' health information in varied formats such
as clinical reports written in natural language, X-rays, MRI, case/discharge-summary, etc …

Background: Knowledge graph embedding is an effective semantic representation method
for entities and relations in knowledge graphs. Several translation-based algorithms …

Background Patients who are readmitted to an intensive care unit (ICU) usually have a high
risk of mortality and an increased length of stay. ICU readmission risk prediction may help …

As technologies advent, attention should be given to raise awareness for implementing
Artificial Intelligence in health care. Evidence supporting this view has largely acquired …

As machine learning and artificial intelligence increasingly attain a larger number of
applications in the biomedical domain, at their core, their utility depends on the data used to …

Background: Adverse drug events (ADEs) are unintended side effects of drugs that cause
substantial clinical and economic burdens globally. Not all ADEs are discovered during …

Traditional Machine Learning (ML) models have had limited success in predicting
Coronoavirus-19 (COVID-19) outcomes using Electronic Health Record (EHR) data partially …

Background Unplanned readmission of a hospitalized patient is an indicator of patients'
exposure to risk and an avoidable waste of medical resources. In addition to hospital …