DOI

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.

Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
РедакторыAna Maria A.C. Rocha, Elena Stankova, Sanjay Misra, Giuseppe Borruso, Alfredo Cuzzocrea, David Taniar, Osvaldo Gervasi, Beniamino Murgante, Carmelo M. Torre, Bernady O. Apduhan
ИздательSpringer Nature
Страницы371-386
Число страниц16
ISBN (печатное издание)9783319624037
DOI
СостояниеОпубликовано - 2017
Событие17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Италия
Продолжительность: 2 июл 20175 июл 2017
Номер конференции: 17

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10408 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция17th International Conference on Computational Science and Its Applications, ICCSA 2017
Сокращенное названиеICCSA 2017
Страна/TерриторияИталия
ГородTrieste
Период2/07/175/07/17

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 97811473