Semantic processing of personality description for depression patients

Zhisheng Huang, Qing Hu, Haiyuan Wang, Yahan Zhang, Jie Yang, Gang Wang*

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The personality description has been considered to be an important part of the electronic medical records (EMRs) for depression in-patients. However, the personality description of a patient is usually provided by a family member of the patient when he or she is admitted to the hospital. Because of non-professional background of those family members, personality descriptions in EMRS have various problems such as non-standard description, confusion between personality and behavior, and others. In this paper, we propose an approach to dealing with non-standard description of personality for depression patients by introducing a semantic relevance measure of personality. Furthermore, we make a mapping of those personality description items into the personality items in the well-known personality model of the Sixteen Personality Factor Questionnaire (16PF). We find some interesting observations on the connection between existing personality description in EMRs and the personality items in the 16PF model, and suggest possible improvement of the personality description in EMRs for depression patients.

Original languageEnglish
Title of host publicationHealth Information Science
Subtitle of host publication8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings
EditorsHua Wang, Siuly Siuly, Yanchun Zhang, Rui Zhou, Fernando Martin-Sanchez, Zhisheng Huang
PublisherSpringer
Pages263-275
Number of pages13
ISBN (Electronic)9783030329624
ISBN (Print)9783030329617
DOIs
Publication statusPublished - 2019
Event8th International Conference on Health Information Science, HIS 2019 - Xi'an, China
Duration: 18 Oct 201920 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11837 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Health Information Science, HIS 2019
CountryChina
CityXi'an
Period18/10/1920/10/19

Keywords

  • 16 Personality Factor (16PF)
  • Depression
  • Personality
  • Semantic processing
  • Semantic relevance measure

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