Latest AI and machine learning research in public health & policy for healthcare professionals.
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance...
Anemia is common in patients with advanced chronic kidney disease (CKD). Though erythropoiesis-stimu...
BACKGROUND: The specification of metadata in clinical and epidemiological study projects absorbs sig...
Healthcare services increasingly use the activity recognition technology to track the daily activiti...
Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the Unite...
BACKGROUND: Edoxaban is a specific anti-Xa inhibitor that, in comparison to warfarin, has been found...
PURPOSE: We investigate the safety and efficacy of pharmacological venous thromboembolism prophylaxi...
Chronic leg ulcers (CLUs) are a common occurrence in the western population and are associated with ...
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (A...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggr...
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forec...
In epidemiological studies as well as in clinical practice the amount of produced medical image data...
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules proc...
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is u...
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medica...
Despite recent progress in prediction and prevention, heart disease remains a leading cause of death...
Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors...
Extracting informative image features and learning effective approximate hashing functions are two c...
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured four tracks. The first...
BACKGROUND: Social media platforms are increasingly seen as a source of data on a wide range of heal...
Identifying populations of heart failure (HF) patients is paramount to research efforts aimed at dev...