ABSTRACT The Electronic Health Record (EHR) groups all digital documents related to a
given patient such as anamnesis, results of the laboratory tests, prescriptions, recorded …

The Electronic Health Record (EHR) is becoming the central information object for various
aspects of healthcare and medical related industries, from pharmaceuticals to …

Sharing of personal health information is subject to multiple constraints, which may dissuade
some organizations from sharing their data. Summarized deidentified data, such as that …

Clustering prior to regression analysis improves the accuracy of prediction in clinical
decision making. However, most previously described methods focused on numerical data …

Background and objectives Health professionals look for specific patterns by correlating
multiple physiological data in the process of deciding treatments to remedy clinical …

Data mining is used extensively and is applied successfully in various fields like market-
basket analysis, e-business, fraud detection, quality control, cross-selling of products etc …

The digital revolution, accelerated by the global COVID-19 pandemic, has brought a
significant transformation in decision-making across various industries. This paradigm shift …

Chignell et al.[1] previously described a methodology for converting a large set of
confidential data records into a set of summaries of similar patients. They claimed that the …

An electronic medical record is an expert document that contains all data created during the
treatment procedure. The EMR can use different data groups, for example, numerical data …

Purpose. This study evaluates the predictive ability of patient types (clusters of similar
patients) in identifying cancer patients at high risk for emergency department (ED) visits …