Objective This study investigates the use of visualization techniques reported between 1996
and 2013 and evaluates innovative approaches to information visualization of electronic …

Objectives This review aims to: 1) evaluate the quality of model reporting, 2) provide an
overview of methodology for developing and validating Early Warning Score Systems …

The national adoption of electronic health records (EHR) promises to make an
unprecedented amount of data available for clinical research, but the data are complex …

Patient condition is a key element in communication between clinicians. However, there is
no generally accepted definition of patient condition that is independent of diagnosis and …

Objective Seizures have been implicated as a cause of secondary brain injury, but the
systemic and cerebral physiologic effects of seizures after acute brain injury are poorly …

Research on near-term quantum machine learning has explored how classical machine
learning algorithms endowed with access to quantum kernels (similarity measures) can …

Background National electronic health records (EHR) are increasingly used for research but
identifying disease cases is challenging due to differences in information captured between …

Electronic health record (EHR) data are becoming a primary resource for clinical research.
Compared to traditional research data, such as those from clinical trials and epidemiologic …

Electronic health record phenotyping is the use of raw electronic health record data to assert
characterizations about patients. Researchers have been doing it since the beginning of …

Electronic health record (EHR) data show promise for deriving new ways of modeling
human disease states. Although EHR researchers often use numerical values of laboratory …