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.

Original languageEnglish
Pages (from-to)78-90
Number of pages13
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 4 Jul 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne
Duration: 2 Jul 20185 Jul 2018

Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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