Data storage, processing and analysis system to support brain research

Vladimir Korkhov, Vladislav Volosnikov, Kirill Gribkov, Andrey Vorontsov, Kirill Gribkov, Natalia Zalutskaya, Alexander Degtyarev, Alexander Bogdanov

Результат исследований: Научные публикации в периодических изданияхстатьянаучнаярецензирование

1 цитирование (Scopus)

Выдержка

Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.

Язык оригиналаанглийский
Страницы (с-по)78-90
Число страниц13
ЖурналLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том10963
DOI
СостояниеОпубликовано - 4 июл 2018
Событие18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Австралия
Продолжительность: 2 июл 20185 июл 2018

Ключевые слова

    Предметные области Scopus

    • Компьютерные науки (все)
    • Теоретические компьютерные науки

    Цитировать

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    title = "Data storage, processing and analysis system to support brain research",
    abstract = "Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.",
    keywords = "Alzheimer’s disease, Brain, Data analysis, Information system, Neuroinformatics",
    author = "Vladimir Korkhov and Vladislav Volosnikov and Kirill Gribkov and Andrey Vorontsov and Kirill Gribkov and Natalia Zalutskaya and Alexander Degtyarev and Alexander Bogdanov",
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    Data storage, processing and analysis system to support brain research. / Korkhov, Vladimir; Volosnikov, Vladislav; Gribkov, Kirill; Vorontsov, Andrey; Gribkov, Kirill; Zalutskaya, Natalia; Degtyarev, Alexander; Bogdanov, Alexander.

    В: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том 10963, 04.07.2018, стр. 78-90.

    Результат исследований: Научные публикации в периодических изданияхстатьянаучнаярецензирование

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    AU - Korkhov, Vladimir

    AU - Volosnikov, Vladislav

    AU - Gribkov, Kirill

    AU - Vorontsov, Andrey

    AU - Gribkov, Kirill

    AU - Zalutskaya, Natalia

    AU - Degtyarev, Alexander

    AU - Bogdanov, Alexander

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    AB - Complex human research, in particular, research in the field of brain pathologies requires strong informational support for consolidation of clinical and biological data from various sources to enable data processing and analysis. In this paper we present design and implementation of an information system for patient data collection, consolidation and analysis. We show and discuss results of applying cluster analysis methods for the automated processing of magnetic resonance voxel-based morphometry data to facilitate the early diagnosis of Alzheimer’s disease. Our results indicate that detailed investigation of the properties of cluster analysis data can significantly help neurophysiologists in the study of Alzheimer’s disease especially with the means of automated data handling provided by the developed information system.

    KW - Alzheimer’s disease

    KW - Brain

    KW - Data analysis

    KW - Information system

    KW - Neuroinformatics

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