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Volumn 21, Issue 2, 2003, Pages 135-147

Chance discovery in medicine - Detection of rare risky events in chronic diseases

Author keywords

Fuzzy qualitative trend; Rare risky events; Rough sets; Rule induction; Time series analysis

Indexed keywords

DISEASES; FUZZY SETS; ROUGH SET THEORY; TIME SERIES ANALYSIS;

EID: 0037238504     PISSN: 02883635     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03037631     Document Type: Article
Times cited : (9)

References (14)
  • 6
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    • Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants
    • Miksch, S., Horn, W., Popow, C. and Paky, F., "Utilizing Temporal Data Abstraction for Data Validation and Therapy Planning for Artificially Ventilated Newborn Infants," Artificial Intelligence in Medicine, 8, 543-576, 1996.
    • (1996) Artificial Intelligence in Medicine , vol.8 , pp. 543-576
    • Miksch, S.1    Horn, W.2    Popow, C.3    Paky, F.4
  • 7
    • 0036237214 scopus 로고    scopus 로고
    • Chance discoveries for making decisions in complex real world
    • Springer-Verlag
    • Osawa, Y., "Chance Discoveries for Making Decisions in Complex Real World," New Generation Computing, 20, 2, Springer-Verlag, pp. 143-164, 2002.
    • (2002) New Generation Computing , vol.20 , Issue.2 , pp. 143-164
    • Osawa, Y.1
  • 8
    • 0004174560 scopus 로고
    • Kluwer Academic Publishers
    • Pawlak, Z., Rough Sets. Kluwer Academic Publishers, 1991.
    • (1991) Rough Sets
    • Pawlak, Z.1
  • 9
    • 0002580328 scopus 로고
    • From rough set theory to evidence theory
    • (Yager, R., Fedrizzi, M, and Kacprzyk, J., eds.); John Wiley & Sons, New York
    • Skowron, A. and Grzymala-Busse, J., "From Rough Set Theory to Evidence Theory," (Yager, R., Fedrizzi, M, and Kacprzyk, J., eds.) Advances in the Dempster-Shafer Theory of Evidence, pp. 193-236, John Wiley & Sons, New York, 1994.
    • (1994) Advances in the Dempster-Shafer Theory of Evidence , pp. 193-236
    • Skowron, A.1    Grzymala-Busse, J.2
  • 10
    • 0029307417 scopus 로고
    • PRIMEROSE: Probabilistic rule induction method based on rough sets and resampling methods
    • Tsumoto, S. and Tanaka, H., "PRIMEROSE: Probabilistic Rule Induction Method based on Rough Sets and Resampling Methods," Computational Intelligence, 11, pp. 389-405, 1995.
    • (1995) Computational Intelligence , vol.11 , pp. 389-405
    • Tsumoto, S.1    Tanaka, H.2
  • 11
    • 0032291072 scopus 로고    scopus 로고
    • Automated induction of medical expert system rules from clinical databases based on rough set theory
    • Tsumoto, S., "Automated Induction of Medical Expert System Rules from Clinical Databases based on Rough Set Theory," Information Sciences, 112, pp. 67-84, 1998.
    • (1998) Information Sciences , vol.112 , pp. 67-84
    • Tsumoto, S.1
  • 12
    • 0012751179 scopus 로고    scopus 로고
    • Comparison and evaluation of knowledge acquired by KDD methods
    • (in Japanese)
    • Tsumoto, S. and Takabayashi, K., "Comparison and Evaluation of Knowledge Acquired by KDD Methods," Japanese Society of AI, 15, pp. 790-797, 2000. (in Japanese).
    • (2000) Japanese Society of AI , vol.15 , pp. 790-797
    • Tsumoto, S.1    Takabayashi, K.2
  • 13
    • 0034234307 scopus 로고    scopus 로고
    • Automated discovery of positive and negative knowledge in clinical databases based on rough set model
    • Tsumoto, S., "Automated Discovery of Positive and Negative Knowledge in Clinical Databases based on Rough Set Model," IEEE Engineering in Medicine and Biology Magazine, 19, pp. 56-62, 2000.
    • (2000) IEEE Engineering in Medicine and Biology Magazine , vol.19 , pp. 56-62
    • Tsumoto, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.