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Inductive synthesis of the models of biological systems according to clinical trials. / Osipov, Vasily; Lushnov, Mikhail; Stankova, Elena; Vodyaho, Alexander; Zukova, Nataly.

Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. ed. / Beniamino Murgante; Bernady O. Apduhan; Giuseppe Borruso; Elena Stankova; Osvaldo Gervasi; Sanjay Misra; David Taniar; Ana Maria A.C. Rocha; Alfredo Cuzzocrea; Carmelo M. Torre. Springer Nature, 2017. p. 103-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10404).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Osipov, V, Lushnov, M, Stankova, E, Vodyaho, A & Zukova, N 2017, Inductive synthesis of the models of biological systems according to clinical trials. in B Murgante, BO Apduhan, G Borruso, E Stankova, O Gervasi, S Misra, D Taniar, AMAC Rocha, A Cuzzocrea & CM Torre (eds), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10404, Springer Nature, pp. 103-115, 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italy, 2/07/17. https://doi.org/10.1007/978-3-319-62392-4_8

APA

Osipov, V., Lushnov, M., Stankova, E., Vodyaho, A., & Zukova, N. (2017). Inductive synthesis of the models of biological systems according to clinical trials. In B. Murgante, B. O. Apduhan, G. Borruso, E. Stankova, O. Gervasi, S. Misra, D. Taniar, A. M. A. C. Rocha, A. Cuzzocrea, & C. M. Torre (Eds.), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017 (pp. 103-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10404). Springer Nature. https://doi.org/10.1007/978-3-319-62392-4_8

Vancouver

Osipov V, Lushnov M, Stankova E, Vodyaho A, Zukova N. Inductive synthesis of the models of biological systems according to clinical trials. In Murgante B, Apduhan BO, Borruso G, Stankova E, Gervasi O, Misra S, Taniar D, Rocha AMAC, Cuzzocrea A, Torre CM, editors, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Springer Nature. 2017. p. 103-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-62392-4_8

Author

Osipov, Vasily ; Lushnov, Mikhail ; Stankova, Elena ; Vodyaho, Alexander ; Zukova, Nataly. / Inductive synthesis of the models of biological systems according to clinical trials. Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. editor / Beniamino Murgante ; Bernady O. Apduhan ; Giuseppe Borruso ; Elena Stankova ; Osvaldo Gervasi ; Sanjay Misra ; David Taniar ; Ana Maria A.C. Rocha ; Alfredo Cuzzocrea ; Carmelo M. Torre. Springer Nature, 2017. pp. 103-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{2b4044a5cca84e89a8d06bbcf3bb290a,
title = "Inductive synthesis of the models of biological systems according to clinical trials",
abstract = "In the article an approach to solving the problem of inductive synthesis of the models of biological systems according to clinical trials is suggested. Suggested approach to inductive synthesis of biological models on the base of results of clinical trials allows essentially decrease computational complexity of this problem. Formalization of biological models in the form of graph of parameters allows use well developed mathematical apparatus of theory of graphs, which suggest effective methods of models transformation. Nowadays suggested approach is used in Almazov Cardiological Center for automatic medical data processing.",
keywords = "Inductive synthesis of the models, Models of biological systems",
author = "Vasily Osipov and Mikhail Lushnov and Elena Stankova and Alexander Vodyaho and Nataly Zukova",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 02-07-2017 Through 05-07-2017",
year = "2017",
doi = "10.1007/978-3-319-62392-4_8",
language = "English",
isbn = "9783319623917",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "103--115",
editor = "Beniamino Murgante and Apduhan, {Bernady O.} and Giuseppe Borruso and Elena Stankova and Osvaldo Gervasi and Sanjay Misra and David Taniar and Rocha, {Ana Maria A.C.} and Alfredo Cuzzocrea and Torre, {Carmelo M.}",
booktitle = "Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017",
address = "Germany",

}

RIS

TY - GEN

T1 - Inductive synthesis of the models of biological systems according to clinical trials

AU - Osipov, Vasily

AU - Lushnov, Mikhail

AU - Stankova, Elena

AU - Vodyaho, Alexander

AU - Zukova, Nataly

N1 - Conference code: 17

PY - 2017

Y1 - 2017

N2 - In the article an approach to solving the problem of inductive synthesis of the models of biological systems according to clinical trials is suggested. Suggested approach to inductive synthesis of biological models on the base of results of clinical trials allows essentially decrease computational complexity of this problem. Formalization of biological models in the form of graph of parameters allows use well developed mathematical apparatus of theory of graphs, which suggest effective methods of models transformation. Nowadays suggested approach is used in Almazov Cardiological Center for automatic medical data processing.

AB - In the article an approach to solving the problem of inductive synthesis of the models of biological systems according to clinical trials is suggested. Suggested approach to inductive synthesis of biological models on the base of results of clinical trials allows essentially decrease computational complexity of this problem. Formalization of biological models in the form of graph of parameters allows use well developed mathematical apparatus of theory of graphs, which suggest effective methods of models transformation. Nowadays suggested approach is used in Almazov Cardiological Center for automatic medical data processing.

KW - Inductive synthesis of the models

KW - Models of biological systems

UR - http://www.scopus.com/inward/record.url?scp=85027149081&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-62392-4_8

DO - 10.1007/978-3-319-62392-4_8

M3 - Conference contribution

AN - SCOPUS:85027149081

SN - 9783319623917

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 103

EP - 115

BT - Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017

A2 - Murgante, Beniamino

A2 - Apduhan, Bernady O.

A2 - Borruso, Giuseppe

A2 - Stankova, Elena

A2 - Gervasi, Osvaldo

A2 - Misra, Sanjay

A2 - Taniar, David

A2 - Rocha, Ana Maria A.C.

A2 - Cuzzocrea, Alfredo

A2 - Torre, Carmelo M.

PB - Springer Nature

T2 - 17th International Conference on Computational Science and Its Applications, ICCSA 2017

Y2 - 2 July 2017 through 5 July 2017

ER -

ID: 97812870