TY - GEN
T1 - Automated acquisition of rules from clinical databases and its evaluation
AU - Tsumoto, Shusaku
AU - Tanaka, Hiroshi
PY - 1998/1/1
Y1 - 1998/1/1
N2 - This paper presents an approach to induction of rules from databases using rough set model. The system was evaluated on three clinical databases, and induced results were compared with other conventional rule induction methods and medical experts' rules. The results show that the introduced results outperforms other methods, but that the description length of induced rules is a little short, compared with that of experts' rules, which suggests that experts' rules are combination of different kinds of reasoning, rather than simple classification.
AB - This paper presents an approach to induction of rules from databases using rough set model. The system was evaluated on three clinical databases, and induced results were compared with other conventional rule induction methods and medical experts' rules. The results show that the introduced results outperforms other methods, but that the description length of induced rules is a little short, compared with that of experts' rules, which suggests that experts' rules are combination of different kinds of reasoning, rather than simple classification.
KW - Data Mining
KW - Knowledge Acquisition
KW - Rough Sets
KW - Rule Induction
UR - http://www.scopus.com/inward/record.url?scp=84887634954&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887634954&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-896-0-649
DO - 10.3233/978-1-60750-896-0-649
M3 - Conference contribution
AN - SCOPUS:84887634954
SN - 9051994079
SN - 9789051994070
T3 - Studies in Health Technology and Informatics
SP - 649
EP - 653
BT - MedInfo 1998 - 9th World Congress on Medical Informatics
PB - IOS Press
T2 - 9th World Congress on Medical Informatics, MedInfo 1998
Y2 - 18 August 1998 through 22 August 1998
ER -