Author/Editor		Grošelj, C
Title		Data mining problems in medicine
Type		članek
Source		In: Kokol P, Stiglic B, Zorman M, et al, editors. Proceedings of the 15th IEEE symposium on computer-based medical systems (CBMS 2002); 2002 Jun 4-7; Maribor. Los Alamitos: Institute of electrical and electronics engineers,
Publication year		2002
Volume		str. 377-80
Language		eng
Abstract		The principle of any retrospective on patient data based investigation is searching the patients by problem or sign, but no name. With a proper, by problem encoded computer archived data base, the data mining process would be easy. One would need only input the request and get the proper data in short time. The medical archives frequently base on paper records only, with a patient name as entering key. To find the proper record in such archive, a detective strategy is needed. The process continues with collecting the usually enormous amount of papers, finding between them the appropriate records and finally encoding and arranging them in a table. The whole named process can be separated on patients, paper and data mining. Because of their dilatory, these phases can be the most time loosing part of an on-medical data based investigation. Author describes his data mining experience.
Descriptors		CORONARY DISEASE ARTIFICIAL INTELLIGENCE PATIENT IDENTIFICATION SYSTEMS DATA COLLECTION