A mental health database creation method with 2-phase correlation computing

Venera Raneva, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A person's mental health is strongly influenced by multiple factors such as external stimuli, nutrition intake, sleep, exercise and other behavioral habits. However, especially for non-specialists, covering the knowledge of all fields related to the desired situation is a complex and time-consuming task. In this research, we propose a method for creating a holistic mental health database with semantic search functions. This method combines multidisciplinary expert knowledge and allows the user to find a combination of mental health improving methods based on his/her context. The expert knowledge is registered as a relation of each stimulus and neurotransmitter secretion. Applying Mathematical Model of Meaning, context-based search is realized.

Original languageEnglish
Title of host publicationInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
EditorsTri Hadiah Muliawati, Muhammad Febrian Ardiansyah, Dewi Mutiara Sari, Desy Intan Permatasari, Mu'arifin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-89
Number of pages5
ISBN (Electronic)9781538680797
DOIs
Publication statusPublished - 2019 Jan 28
Event2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Bali, Indonesia
Duration: 2018 Oct 292018 Oct 30

Publication series

NameInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings

Conference

Conference2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018
Country/TerritoryIndonesia
CityBali
Period18/10/2918/10/30

Keywords

  • 2-phase correlation computing
  • database
  • mental health
  • semantic computing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

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