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Published in:   Vol. 4 Issue 2 Date of Publication:   December 2015

A Bayesian Framework for Diagnosing Depression Level of Adolescents

M.R.Sumathi,B.Poorna

Page(s):   59-62 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.004.002.002 Publisher:   Integrated Intelligent Research (IIR)


  1. Ahmed, MobyenUddin,   "A case-based multi-modal clinical system for stress management",   School of Innovation, Design and Engineering, M?la   ,2010
    View Artical

  2. Ahmend, MobyenUddin, et al,   "Case-based reasoning for diagnosis of stress using enhanced cosine and fuzzy similarity",   Transactions on Casebased Reasoning for Multimedia   ,2008
    View Artical

  3. Andrews, Gavin, et al,   "Dimensionality and the category of major depressive episode",   International journal of methods in psychiatric re   ,2007
    View Artical

  4. AnshulSatsangi, RekhaSugandhi,   "Clinical Decision Support System for Psychiatric Disorders",   International Journal of Engineering Research & Te   ,Vol.3   ,Issue 12   ,2014
    View Artical

  5. Bielza C., Larra?aga P.,   "Bayesian networks in neuroscience: a survey",   Front. Comput.Neurosci
    View Artical

  6. Chang, Yue-Shan, et al,   "Mobile cloud-based depression diagnosis using an ontology and a Bayesian network",   Future Generation Computer Systems   ,2015
    View Artical

  7. Curiac, D-I., et al.,   "Bayesian network model for diagnosis of psychiatric diseases",   Information Technology Interfaces   ,Vol.ITI'09.Pro   ,2009
    View Artical

  8. Curiac, D-I., et al,   "Bayesian network model for diagnosis of psychiatric diseases",   Information Technology Interfaces ITI'09.Proceedin   ,2009
    View Artical

  9. Ding, Zhongli, and Yun Peng,   "A probabilistic extension to ontology language OWL",   Proceedings of the 37th Annual Hawaii internationa   ,2004
    View Artical

  10. Ekong, Victor E., Udoinyang G. Inyang, and Emmanuel A. Onibere,   "Intelligent Decision Support System for Depression Diagnosis Based on Neuro-fuzzy-CBR Hybrid",   Modern Applied Science   ,2012
    View Artical

  11. Estabragh, ZakiyehShojaei, et al,   "Bayesian network modeling for diagnosis of social anxiety using some cognitive-behavioral factors.",   Network Modeling Analysis in Health Informatics an   ,2013
    View Artical

  12. Gartner, Joseph, et al,   "Psychiatric diagnosis from the viewpoint of computational logic",   Computational Logic?CL Springer Berlin Heidelberg   ,2000
    View Artical

  13. Gruenberg, A. M., Goldstein, R. D. and Pincus, H. A,   "Classification of Depression: Research and Diagnostic Criteria: DSM-IV and ICD-10",   in Biology of Depression: From Novel Insights to T
    View Artical

  14. Hadzic, Maja, FedjaHadzic, and Tharam Dillon,   "Tree mining in mental health domain",   Hawaii International Conference on System Sciences   ,2008
    View Artical

  15. Hadzic, Maja, Meifania Chen, and Tharam S. Dillon,   "Towards the mental health ontology",   Bioinformatics and Biomedicine, BIBM'08.IEEE Inter   ,2008
    View Artical

  16. Im, Y. H., et al,   "A KFD web database system with an object-based image retrieval for family art therapy assessments",   The Arts in Psychotherapy 37.3   ,2010
    View Artical

  17. Kim, S. I., et al,   "A framework for expert system knowledge base in art psychotherapy",   Expert systems research trends   ,2007
    View Artical

  18. Haghighi, Mojgan, et al,   "Development of clinical ontology for mood disorder with combination of psychomedical information   ,2009
    View Artical

  19. Heckerman, David,   "A tutorial on learning with Bayesian networks",   Springer Netherlands   ,1998
    View Artical

  20. Mani, Subramani, Suzanne McDermott, and Marco Valtorta,   "MENTOR: a bayesian model for prediction of mental retardation in newborns",   Research in Developmental Disabilities   ,1997
    View Artical

  21. Michel C. A. Klein, and Gabriele Modena,   "Estimating Mental States of a Depressed Person with Bayesian Networks",   Contemporary Challenges and Solutions in Applied A   ,Vol.489   ,2013
    View Artical

  22. Milton, Nick, David Clarke, and Nigel Shadbolt,   "Knowledge engineering and psychology: Towards a closer relationship",   International Journal of Human-Computer Studies   ,2006
    View Artical

  23. Nunes, Luciano C., Pl?cido R. Pinheiro, and Tarcisio C. Pequeno,   "An expert system applied to the diagnosis of psychological disorders",   Intelligent Computing and Intelligent Systems IEEE   ,2009
    View Artical

  24. Pinheiro, Pl?cidoRog?rio, A. Castro, and M. Pinheiro,   "A multicriteria model applied in the diagnosis of Alzheimer's disease: a Bayesian network",   Computational Science and Engineering 08.11th IEEE   ,2008
    View Artical

  25. Seixas, Fl?vioLuiz et al,   "A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer ?s disease and",   Computers in Biology and Medicine   ,Vol.51   ,2014
    View Artical

  26. Sorias, Soli,   "Overcoming the limitations of the descriptive and categorical approaches in psychiatric diagnosis: a
    View Artical

  27. Stephenson, Todd a,   "An introduction to bayesian network theory and usage.   ,2000
    View Artical

  28. Yap, R. H., and David M. Clarke,   "An expert system for psychiatric diagnosis using the DSM-III-R, DSM-IV and ICD-10 classifications.",   Proceedings of the AMIA Annual Fall Symposium Amer   ,1996
    View Artical