Background Healthcare, as with other sectors, has undergone progressive digitalization,
generating an ever-increasing wealth of data that enables research and the analysis of …

With more and more decisions being made by learnt algorithms from data, algorithmic
discriminations have become a risk for civil rights. The detection of discrimination is a …

Electronic medical record systems have been adopted by many large hospitals worldwide,
enabling the recorded data to be analyzed by various computer-based techniques to gain a …

Machine-based generation of clinical pathways that utilizes sequential pattern mining to
extract the pathways from historical electronic medical record (EMR) systems has gained …

Sequential pattern mining (SPM) is widely used for data mining and knowledge discovery in
various application domains, such as medicine, e-commerce, and the World Wide Web …

A sequence variant is a data structure that represents elements with partial order, and it can
be regarded as a sequence with branches. The comparison of sequence variants is an …

With the increasing use of electronic medical records, medical support from analysis of the
accumulated medical information is expected. Currently, new treatment methods and drugs …

In this research, common parts of frequent sequences were detected from medical
instructions for catheter ablation described in the clinical pathways of University of Miyazaki …

In this research, common parts of frequent sequences were detected from medical
instructions for catheter ablation described in the clinical pathways of University of Miyazaki …

Sequential pattern mining (SPM) is widely used for data mining and knowledge discovery in
various application domains. Recently, we have proposed an analyzing method to evaluate …