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Graphical models of psychosocial factors in chronic somatic diseases

  • University of Silesia in Katowice

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

In this paper we describe a graph, tree and forest model of psychosocial factors dependencies of chronically ill patients, called graphical models. Foundation of the study was the theory of meaningfulness of suffering by V. E. Frankl. 181 patients with either arterial hypertension or neoplasms with bad prognosis were examined thrice: 0-10 days from the time of diagnosis (stage I), about 5 weeks from the diagnosis (stage II) and at a follow-up about 5 months since stage II (stage III). 75 factors were available for consideration: 17 in stage I, 28 in stage II, 27 in stage III and 4 sets of data that describe populations: age, gender, education, number of stages executed. For both diseases graphs and trees are built under assumption that factors are vertices and significant correlations are edges, leading to model of dependencies between factors. Usefulness of this approach to analysis of difference between diseases is discussed.

Original languageEnglish
Pages (from-to)1092-1101
Number of pages10
JournalProcedia Computer Science
Volume35
Issue numberC
DOIs
Publication statusPublished - 2014
EventInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014 - Gdynia, Poland
Duration: 15 Sept 201417 Sept 2014

Keywords

  • Graph methods
  • Hypertension
  • Neoplasm
  • Psychosocial factors

ASJC Scopus subject areas

  • General Computer Science

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