Background As the uptake of health information technologies increased, most healthcare
organizations have become producers of big data. A growing number of hospitals are …

Cataract surgery is a sight saving surgery that is performed over 10 million times each year
around the world. With such a large demand, the ability to organize surgical wards and …

Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …

The predicted surgery duration is the main data for operating room scheduling. Existing
studies on surgery duration prediction have mostly addressed a large set of predictors …

This study introduces a novel methodology designed to assess the accuracy of data
processing in the Lambda Architecture (LA), an advanced big-data framework qualified for …

In this research, we delve deep into the realm of Targeted Social Engineering Email
Detection, presenting a novel approach that harnesses the power of Lambda Architecture …

Modern society has always relied on data, which is generated by individuals, businesses,
and government entities. This data serves various citizen-centric purposes, including …

For decisions on operational business level it is necessary to be aware of and to understand
what happens around you and what probably will happen in the near future. Eg in Operating …

The Operating Room (OR) plays an important role in delivering vital medical services to
patients in hospitals. Such environments contain several medical devices, equipment, and …

Anomaly detection means a hypernym for all kinds of applications finding unusual patterns
or not expected behaviour like identifying process patterns, network intrusions or identifying …