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

Venera Raneva, Yasushi Kiyoki

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルInternational Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Proceedings
編集者Tri Hadiah Muliawati, Muhammad Febrian Ardiansyah, Dewi Mutiara Sari, Desy Intan Permatasari, Mu'arifin
出版社Institute of Electrical and Electronics Engineers Inc.
ページ85-89
ページ数5
ISBN(電子版)9781538680797
DOI
出版ステータスPublished - 2019 1 28
イベント2018 International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2018 - Bali, Indonesia
継続期間: 2018 10 292018 10 30

出版物シリーズ

名前International 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
国/地域Indonesia
CityBali
Period18/10/2918/10/30

ASJC Scopus subject areas

  • 人工知能
  • 信号処理

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