title: An automated data pattern translation process for medical data mining.
abstract: This paper describes the development and application of a medical pattern evaluation methodology. The ADAPT process aims to facilitate the increased use of data mining technologies in medicine by providing a method of translating the language of data mining outputs into that of the medical domain. The research behind this work was developed in response to issues raised both in the literature and in public forums regarding the difficulty of adapting data mining technologies for the unique needs of the medical domain. This paper also responds to the need for automated systems to reflect the methodologies and processes applied in the management and analysis of medical data. The solution presented here shows promise as a method of providing a bridge between traditional data mining and the needs of medical domain users.
authors.affiliation: Department of Informatics and Engineering, Flinders University of South Australia, Australia. anna.shillabeer@infoeng.flinders.edu.au
authors.forename: Anna
authors.initials: A
authors.lastname: Shillabeer
mesh_terms: D003658:Decision Making, Computer-Assisted; D001330:Electronic Data Processing; D048088:Informatics; D016247:Information Storage and Retrieval / Q000379:methods*