Title :
Data mining problems in medicine
Author_Institution :
Nucl. Medicine Dept., Univ. Med. Center, Ljubljana, Slovenia
Abstract :
The principle of any retrospective on patient data-based investigation is searching the patients by problem or sign, but not by name. With a proper problem-encoded archival database, the data mining process would be easy. One would only need to input the request and obtain the proper data in a short time. Medical archives are frequently based on paper records only, with the patient name as the entry key. To find the proper record in such an archive, a detection strategy is needed. The process continues with collecting the usually enormous amount of papers, finding the appropriate records within them, and finally encoding and arranging them in a table. The whole process can be separated into patients, paper and data mining. Because of their slowness, these phases can be the most time-consuming part of a medical data-based investigation. The author describes his data mining experience.
Keywords :
data mining; medical information systems; records management; coronary artery disease; data mining; data searching; database key; database table; detection strategy; medical archives; medical data bank; paper records; patient data; patient name; problem-encoded archival database; record encoding; record finding; Biomedical imaging; Coronary arteriosclerosis; Data mining; Encoding; Hospitals; Image databases; Insurance; Medical diagnosis; Medical diagnostic imaging; Nuclear medicine;
Conference_Titel :
Computer-Based Medical Systems, 2002. (CBMS 2002). Proceedings of the 15th IEEE Symposium on
Print_ISBN :
0-7695-1614-9
DOI :
10.1109/CBMS.2002.1011410
