Finding the differences and similarities between two datasets is a common analytics task.
With temporal event sequence data, this task is complex because of the many ways single …

Since the inception of electronic health records (EHR) and population health records
(PopHR), the volume of archived digital health records is growing rapidly. Large volumes of …

In this work, we propose a generic visual analytics framework to support tactic analysis
based on data collected from racquet sports (such as tennis and badminton). The proposed …

Event sequence data is a special type of time-dependent data that captures information
about the order in which discrete events occur. The time-dimension is one of the factors that …

Electronic health records (EHRs) can be used to make critical decisions, to study the effects
of treatments, and to detect hidden patterns in patient histories. In this paper, we present a …

Background: Physicians' alert overriding behavior is considered to be the most important
factor leading to failure of computerized provider order entry (CPOE) combined with a …

Targeted follow-up meetings in general practice are important and missed often, because of
both patient and general practitioners (GPs) related reasons. In this paper, we present a …

Digitization of health records has allowed the health care domain to adopt data-driven
algorithms for decision support. There are multiple people involved in this process: a data …

The increasing use of electronic platforms in healthcare has resulted in the generation of
unprecedented amounts of data in recent years. The amount of data available to clinical …

The era of “big data” promises more information for health practitioners, patients,
researchers, and policy makers. For big data resources to be more than larger haystacks in …