Literature DB >> 27332239

Development and Evaluation of an Adolescents' Depression Ontology for Analyzing Social Data.

Hyesil Jung1, Hyeoun-Ae Park1, Tae-Min Song2.   

Abstract

This study aims to develop and evaluate an ontology for adolescents' depression to be used for collecting and analyzing social data. The ontology was developed according to the 'ontology development 101' methodology. Concepts were extracted from clinical practice guidelines and related literatures. The ontology is composed of five sub-ontologies which represent risk factors, sign and symptoms, measurement, diagnostic result and management care. The ontology was evaluated in four different ways: First, we examined the frequency of ontology concept appeared in social data; Second, the content coverage of ontology was evaluated by comparing ontology concepts with concepts extracted from the youth depression counseling records; Third, the structural and representational layer of the ontology were evaluated by 5 ontology and psychiatric nursing experts; Fourth, the scope of the ontology was examined by answering 59 competency questions. The ontology was improved by adding new concepts and synonyms and revising the level of structure.

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Year:  2016        PMID: 27332239

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Ontology-Based Approach to Social Data Sentiment Analysis: Detection of Adolescent Depression Signals.

Authors:  Hyesil Jung; Hyeoun-Ae Park; Tae-Min Song
Journal:  J Med Internet Res       Date:  2017-07-24       Impact factor: 5.428

2.  A Determinants-of-Fertility Ontology for Detecting Future Signals of Fertility Issues From Social Media Data: Development of an Ontology.

Authors:  Ji-Hyun Lee; Hyeoun-Ae Park; Tae-Min Song
Journal:  J Med Internet Res       Date:  2021-06-14       Impact factor: 5.428

  2 in total

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