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Volumn 225, Issue , 2016, Pages 442-446

Development and evaluation of an adolescents' depression ontology for analyzing social data

Author keywords

Adolescents' depression; Ontology; Social data analysis; Youth counseling record

Indexed keywords

NURSING; RISK ASSESSMENT;

EID: 84978743334     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-658-3-442     Document Type: Conference Paper
Times cited : (8)

References (10)
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  • 6
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    • Evaluation of the content coverage of SNOMED-CT to represent ICNP Version 1 catalogues
    • H. A. Park, C. B. Lundberg, A. Coenen, D. J. Konicek. Evaluation of the content coverage of SNOMED-CT to represent ICNP Version 1 catalogues. Stud Health Technol Inform 146(2009), 303-307.
    • (2009) Stud Health Technol Inform , vol.146 , pp. 303-307
    • Park, H.A.1    Lundberg, C.B.2    Coenen, A.3    Konicek, D.J.4
  • 9
    • 84904380924 scopus 로고    scopus 로고
    • Data to knowledge: An ontological approach to big data analytics
    • E. W. Kuiler. From Big Data to Knowledge: An Ontological Approach to Big Data Analytics. Review of Policy Research 31(2014), 311-318.
    • (2014) Review of Policy Research , vol.31 , pp. 311-318
    • Kuiler, E.W.1    Big, F.2
  • 10
    • 84978730264 scopus 로고    scopus 로고
    • Predicting depression risk factors among Korean adolescents by using social big data
    • T. M. Song. Predicting depression risk factors among Korean adolescents by using social big data. Health Welfare Issue & Focus 296 (2015)
    • (2015) Health Welfare Issue & Focus , vol.296
    • Song, T.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.