The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

Background Primary care data gathered from Electronic Health Records are of the utmost
interest considering the essential role of general practitioners (GPs) as coordinators of …

Background In emergency departments (EDs), early diagnosis and timely rescue, which are
supported by prediction modes using ED data, can increase patients' chances of survival …

Description Electronic health records (EHRs) are an excellent source for secondary data
analysis. Studies based on EHR-derived data, if designed properly, can answer previously …

Background Clinical models in electronic health records are typically expressed as
templates which support the multiple clinical workflows in which the system is used. The …

Clustering data derived from Electronic Health Record (EHR) systems is important to
discover relationships between the clinical profiles of patients and as a preprocessing step …

Clustering diabetic patients with comorbidity patterns are necessary to learn relationships
between diabetes patients' clinical profiles and as an essential pre-processing stage for …

The rapid growth of electronic health record (EHR) systems brings the increase of available
information about patients in hospitals. This massive amount of text information represents …

Objective (s): In a threatening situation such as Covid-19 Pandemic, E-health is more
effective in providing public health, including prevention, monitoring, diagnosis …

In the medicinal field, the granules of information on electronic health record (EHR)
frameworks give chances to increase the care of victim by utilizing informatics recovery …