DocumentCode :
1361866
Title :
Consistent knowledge discovery in medical diagnosis
Author :
Kovalerchuk, Boris ; Vityaev, Evgenii ; Ruiz, James F.
Author_Institution :
Dept. of Comput. Sci., Central Washington Univ., Ellensburg, WA, USA
Volume :
19
Issue :
4
fYear :
2000
Firstpage :
26
Lastpage :
37
Abstract :
Discusses eliminating contradictions among rules in computer-aided systems, experts rules, and databases. The study has demonstrated how consistent data mining in medical diagnosis can create a set of logical diagnostic rules for computer-aided diagnostic systems. Consistency avoids contradiction among rules generated using data mining software, rules used by an experienced radiologist, and a database of pathologically confirmed cases. The authors identified major problems: to find contradiction between diagnostic rules and to eliminate contradiction. They applied two complimentary intelligent technologies for extraction of rules and recognition of their contradictions. The first technique is based on discovering statistically significant logical diagnostic rules. The second technique is based on the restoration of a monotone Boolean function to generate a minimal dynamic sequence of questions to a medical expert. The results of this mutual verification of expert and data-driven rules demonstrate feasibility of the approach for designing consistent computer-aided diagnostic systems
Keywords :
data mining; medical diagnostic computing; computer-aided systems; consistent data mining; consistent knowledge discovery; experienced radiologist; experts rules; logical diagnostic rules set; medical diagnosis; pathologically confirmed cases database; Artificial intelligence; Biomedical imaging; Breast cancer; Data mining; Databases; Independent component analysis; Medical diagnosis; Medical diagnostic imaging; Shape; Uncertainty;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.853479
Filename :
853479
Link To Document :
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