Home // DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Meaghen Regts
Arturo Fernandez Espinosa
Miguel Vargas Martin
Jayshiro Tashiro
Keywords: complex correlations; misconception development; navigational pathways; pattern recognition process mining
Abstract:
Development of misconceptions by health care students and providers can be deadly to patients during health care planning and delivery. However, ongoing research of methodologies for knowledge management and knowledge discovery has provided ways to study and then remediate misconceptions. Effective use of data warehousing coupled to automated data mining has been successfully integrated to around complex learning objects. Such integrations allow for monitoring and analysis of students’ and practicing healthcare providers’ processes of learning and decision making. In this paper, we describe how such coupling enables new types of methodologies which can lead to a better understanding of misconception development.
Pages: 112 to 119
Copyright: Copyright (c) IARIA, 2012
Publication date: February 29, 2012
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-185-4
Location: Saint Gilles, Reunion
Dates: from February 29, 2012 to March 5, 2012