Knowledge discovery in database and its application in clinical diagnosis / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 677-680, 2004.
Article
in Chinese
| WPRIM
| ID: wpr-342636
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Decision Making, Computer-Assisted
/
Mathematical Computing
/
Artificial Intelligence
/
Clinical Medicine
/
Data Interpretation, Statistical
/
Factor Analysis, Statistical
/
Databases, Factual
/
Medical Records Systems, Computerized
/
Knowledge
/
Databases as Topic
Type of study:
Diagnostic study
/
Prognostic study
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2004
Type:
Article
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