Knowledge discovery in database and its application in clinical diagnosis.
- Author:
Hui LUI
1
;
Tianshuang QIU
Author Information
1. Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China.
- Publication Type:Journal Article
- MeSH:
Artificial Intelligence;
Clinical Medicine;
Data Interpretation, Statistical;
Databases as Topic;
Databases, Factual;
Decision Making, Computer-Assisted;
Diagnosis;
Factor Analysis, Statistical;
Knowledge;
Mathematical Computing;
Medical Records Systems, Computerized
- From:
Journal of Biomedical Engineering
2004;21(4):677-680
- CountryChina
- Language:Chinese
-
Abstract:
Nowadays the tremendous amount of data has far exceeded our human ability for comprehension, and this has been particularly true for the medical database. However, traditional statistical techniques are no longer adequate for analyzing this vast collection of data. Knowledge discovery in database and data mining play an important role in analyzing data and uncovering important data patterns. This paper briefly presents the concepts of knowledge discovery in database and data mining, then describes the rough set theory, and gives some examples based on rough set.
