Nowadays big volumes of medical data are accumulated. So the problem of analysis of these data and mining linked logical structures, defining internal data semantics is an actual one. Solution of this problem allows solve the problem of optimizing intelligent context search. In the article an approach for solving this problem for analyzing processes running in human organism is discussed. Suggested approach is based on building of linked logical structures and assumes finding of motifs in variations of parameters of systems and subsystems. An algorithm of finding of motifs is suggested. The result of algorithm operation is logical structure that reflects internal dependencies which exist in human organism. Nowadays suggested approach is used in Almazov Cardio-logical Center for medical data processing.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
EditorsAna Maria A.C. Rocha, Elena Stankova, Sanjay Misra, Giuseppe Borruso, Alfredo Cuzzocrea, David Taniar, Osvaldo Gervasi, Beniamino Murgante, Carmelo M. Torre, Bernady O. Apduhan
PublisherSpringer Nature
Pages371-386
Number of pages16
ISBN (Print)9783319624037
DOIs
StatePublished - 2017
Event17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy
Duration: 2 Jul 20175 Jul 2017
Conference number: 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10408 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Computational Science and Its Applications, ICCSA 2017
Abbreviated titleICCSA 2017
Country/TerritoryItaly
CityTrieste
Period2/07/175/07/17

    Research areas

  • Context search, Linked logical structure, Medical data, Motifs

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

ID: 97811473