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Combining logical and statistical rule reasoning and verification for medical applications. / Palchunov, D. E.; Tishkovsky, D. E.; Tishkovskaya, S. V. et al.

Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 309-313 8109895.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Palchunov, DE, Tishkovsky, DE, Tishkovskaya, SV & Yakhyaeva, GE 2017, Combining logical and statistical rule reasoning and verification for medical applications. in Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017., 8109895, Institute of Electrical and Electronics Engineers Inc., pp. 309-313, 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017, Novosibirsk, Russian Federation, 18.09.2017. https://doi.org/10.1109/SIBIRCON.2017.8109895

APA

Palchunov, D. E., Tishkovsky, D. E., Tishkovskaya, S. V., & Yakhyaeva, G. E. (2017). Combining logical and statistical rule reasoning and verification for medical applications. In Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 (pp. 309-313). [8109895] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIBIRCON.2017.8109895

Vancouver

Palchunov DE, Tishkovsky DE, Tishkovskaya SV, Yakhyaeva GE. Combining logical and statistical rule reasoning and verification for medical applications. In Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 309-313. 8109895 doi: 10.1109/SIBIRCON.2017.8109895

Author

Palchunov, D. E. ; Tishkovsky, D. E. ; Tishkovskaya, S. V. et al. / Combining logical and statistical rule reasoning and verification for medical applications. Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 309-313

BibTeX

@inproceedings{92f997b15cc943baa3d18e020cf033a6,
title = "Combining logical and statistical rule reasoning and verification for medical applications",
abstract = "We propose a methodology of structuring domain knowledge as a four-layered framework. The taxonomy consists of four hierarchically related components which include: Ontology, General Knowledge, Statistics and Probability Based Knowledge and individual cases. Further, we suggest using statistics based techniques to verify rules representing General Knowledge and to test and construct new decision rules.",
keywords = "Case-based reasoning, Knowledge engineering, Medical applications, Ontology, Rule-based reasoning, Statistics reasioning, Taxonomy, knowledge engineering, taxonomy, DECISION-SUPPORT, STROKE, medical applications, statistics reasioning, case-based reasoning, rule-based reasoning, ontology",
author = "Palchunov, {D. E.} and Tishkovsky, {D. E.} and Tishkovskaya, {S. V.} and Yakhyaeva, {G. E.}",
year = "2017",
month = nov,
day = "14",
doi = "10.1109/SIBIRCON.2017.8109895",
language = "English",
pages = "309--313",
booktitle = "Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017 ; Conference date: 18-09-2017 Through 22-09-2017",

}

RIS

TY - GEN

T1 - Combining logical and statistical rule reasoning and verification for medical applications

AU - Palchunov, D. E.

AU - Tishkovsky, D. E.

AU - Tishkovskaya, S. V.

AU - Yakhyaeva, G. E.

PY - 2017/11/14

Y1 - 2017/11/14

N2 - We propose a methodology of structuring domain knowledge as a four-layered framework. The taxonomy consists of four hierarchically related components which include: Ontology, General Knowledge, Statistics and Probability Based Knowledge and individual cases. Further, we suggest using statistics based techniques to verify rules representing General Knowledge and to test and construct new decision rules.

AB - We propose a methodology of structuring domain knowledge as a four-layered framework. The taxonomy consists of four hierarchically related components which include: Ontology, General Knowledge, Statistics and Probability Based Knowledge and individual cases. Further, we suggest using statistics based techniques to verify rules representing General Knowledge and to test and construct new decision rules.

KW - Case-based reasoning

KW - Knowledge engineering

KW - Medical applications

KW - Ontology

KW - Rule-based reasoning

KW - Statistics reasioning

KW - Taxonomy

KW - knowledge engineering

KW - taxonomy

KW - DECISION-SUPPORT

KW - STROKE

KW - medical applications

KW - statistics reasioning

KW - case-based reasoning

KW - rule-based reasoning

KW - ontology

UR - http://www.scopus.com/inward/record.url?scp=85040532730&partnerID=8YFLogxK

U2 - 10.1109/SIBIRCON.2017.8109895

DO - 10.1109/SIBIRCON.2017.8109895

M3 - Conference contribution

AN - SCOPUS:85040532730

SP - 309

EP - 313

BT - Proceedings - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Multi-Conference on Engineering, Computer and Information Sciences, SIBIRCON 2017

Y2 - 18 September 2017 through 22 September 2017

ER -

ID: 9115115