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Mining Important Symptoms of Adult Depression

by Subhagata Chattopadhyay, Fethi A. Rabhi, Sangeeta Bhanjachaudhuri, Sarat K. Jena
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 5
Year of Publication: 2012
Authors: Subhagata Chattopadhyay, Fethi A. Rabhi, Sangeeta Bhanjachaudhuri, Sarat K. Jena
10.5120/9108-3258

Subhagata Chattopadhyay, Fethi A. Rabhi, Sangeeta Bhanjachaudhuri, Sarat K. Jena . Mining Important Symptoms of Adult Depression. International Journal of Computer Applications. 57, 5 ( November 2012), 5-9. DOI=10.5120/9108-3258

@article{ 10.5120/9108-3258,
author = { Subhagata Chattopadhyay, Fethi A. Rabhi, Sangeeta Bhanjachaudhuri, Sarat K. Jena },
title = { Mining Important Symptoms of Adult Depression },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 5 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number5/9108-3258/ },
doi = { 10.5120/9108-3258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:38.644807+05:30
%A Subhagata Chattopadhyay
%A Fethi A. Rabhi
%A Sangeeta Bhanjachaudhuri
%A Sarat K. Jena
%T Mining Important Symptoms of Adult Depression
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 5
%P 5-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Screening and diagnoses of psychiatric diseases are conducted by interviews, where each question aims to capture the information of the symptoms to assess the severity of the illness. The objectives of this paper are to mine important questions (Q) of a depression questionnaire (Qs) as well as significant symptoms, captured through the questions. It proposes that, in this way, the number of questions could be reduced. To examine this hypothesis, one hundred and twenty six subjects suffering from depression are interviewed. Answers are quantified using a 3-point scale: 'Symptom absent'=0, 'Not sure about the symptom'=0. 5, and 'Symptom present'=1. Factor analysis is then considered to mine significant questions (Q), followed by a regression study to note the goodness of the proposed model. Results show that the questionnaire is internally consistent and reliable (?=0. 79, average 'r'=0. 94 minute, and 'rc'=51 minute) and factor analysis yields ten significant Components (C), among which C1 is found as the most significant, which captures Q15, 25, 16, 24 and 23 capturing the symptoms such as 'loss of libido', 'self blame and self criticism', 'loss of appetite', 'Individualism', 'distortion of body image', respectively. Regression analysis shows that the model is of a good fit (training R=0. 95, test and validations R=~1. 0, each). The paper concludes that mining important symptoms through 'Q' is possible and it reduces the complexity of interpretations. Such information could be helpful for depression diagnoses as during the treatment medical doctors may monitor these symptoms as the markers of improvement.

References
  1. Chen, R. , Copeland, J. Epidemiology of Depression: Prevalence and Incidence, in Principles and Practice of Geriatric Psychiatry, Third Edition (eds. M. T. Abou-Saleh, C. Katona and A. Kumar), John Wiley Sons, Ltd, Chichester, UK. 2010. doi: 10. 1002/9780470669600. ch77.
  2. Essau C. A. , Lewinsohn P. M. , Seeley J. R. , Sasagawa S. Gender differences in the developmental course of depression. Journal of Affective Disorders, 2010; 127:185-190.
  3. Querques, J. Kontos, N. An approach to the patient with dysregulated mood: major depression and bipolar disorder. Medical Clinics of North America, 2010; 94:1117-1126.
  4. Simmons L. A. , Braun B. , Charnigo R. , Havens J. R. , Wright D. W. Depression and poverty among rural women: a relationship of social causation or social selection? Journal of Rural Health, 2008, 24(3):292-298.
  5. Farzaneh E. , Mehrpour O. , Alfred S. , Moghaddam H. H. , Behnoush B. , Seghatoleslam T. Self-poisoning suicide attempts among students in Tehran, Iran. Psychiatria Danubina, 2010, 22:34-38.
  6. Olfson M. , Tobin J. N. , Cassells A. , Weissman M. Improving the detection of drug abuse, alcohol abuse, and depression in community health centers. J Health Care Poor Underserved, 2003, 14(3):386-402.
  7. Katon W. J. Epidemiology and treatment of depression in patients with chronic medical illness. Dialogues in Clinical Neuroscience, 2011; 13:7-23.
  8. Chattopadhyay S. , Daneshgar F. –"A Study on Suicidal Risks in Psychiatric Adults". International Journal of Biomedical Engineering and Technology (2011); 5(4): pp. 390-408.
  9. Chattopadhyay S. , Ray P. , Chen H. S. , Lee M. B. , Chiang H. C. 'Suicidal Risk Evaluation using a Similarity-based Classifier'. Proceedings of International Conference on Advanced Data Mining and Applications (ADMA) Chengdu, China in book format Lecture Notes in Artificial Intelligence (LNAI) (2008), Springer, 5139: pp 51-61.
  10. Chattopadhyay S. , Ray P, Lee M. B, Chen H. S. – 'Towards the Design of an e-Health System for Suicide Prevention'. In proceedings of 11th IASTED Conference on Artificial Intelligence and Soft Computing (ASC 2007), ACTA Press, pp. 191-196, Palma de Malorca, Spain (2007)
  11. Chattopadhyay S. – 'A Study on Suicidal Risk Analysis'. In proceedings of 9th IEEE Intl. Conf. on e-Health Networking, Applications and Service (HEALTHCOM 2007), pp. 74-79, Taipei, Taiwan (2007).
  12. Hamilton, M. A. Rating Scale for Depression. Journal of Neurology and Neurosurgery in Psychiatry, 1960, 23:56-62.
  13. Zung, W. W. K. The depression status inventory: An adjunct to the self-rating depression scale. Journal of Clinical Psychology, 1972, 28:539 – 543.
  14. Beck, A. T. , Alford, B. A. . Depression: Causes and Treatment, 2nd Edition; University of Pennsylvania Press. Depression Guideline Panel (1993). 'Depression in primary care: Detection and diagnosis'. Volume 1; AHCPR publication No. 93-0550, National Library of Medicine DOCLINE Information: CAT/9411422. 2008.
  15. Lindstrom, E. , Lewander, T. , Malm, U. , Malt, U. F, Lublin H. , Ahlfors, U. G. Patient-rated versus clinician-rated side effects of drug treatment in schizophrenia - Clinical validation of a self-rating version of the UKU Side Effect Rating Scale (UKU-SERS-Pat) Nordic Journal of Psychiatry, 2001; 55: 5-69.
  16. Chattopadhyay S. Neurofuzzy models to automate the grades of old-age depression, Expert Systems: the Journal of Knowledge Engineering, accepted in press 2012.
  17. Chattopadhyay S. A prototype depression tool for rural healthcare: a step towards e-health informatics, Journal of Medical Imaging and Health Informatics, 2(3): 244-249 (2012).
  18. Satapathy S. , Chattopadhyay S. Observation-Prevention of Cardiac Risk Factors: an Indian Study, Journal of Medical Imaging and Health Informatics (2012); 2(2):102-113.
  19. Chattopadhyay S. , Kaur P. , Rabhi F. A. , Acharya U. R. Neural Network Approaches to Grade Adult Depression, Journal of Medical Systems (2012), 36(5): 2803-2815.
  20. Chattopadhyay S. , Kaur P. , Rabhi F. A, Acharya U. R. An Automated System to Diagnose the Severity of Adult Depression". In the proceedings of 2nd International Conference on Emerging Applications of Information Technology (CSI EAIT-2011), 19-20th February Kolkata India, (Editors - Jana D. , and Pal P. ), pp. 121-124. IEEE Computer Society and Conference Publishing Services
  21. Ball, H. A. , McGuffin, P. , Farmer, A. E. Attributional style and depression. British Journal of Psychiatry, 2008; 192: 275 – 278.
  22. Wollershiem, J. P. Depression, women, and the workplace, Occupational Medicine. 1993; 8: 787-95.
  23. Showers, C. , Ruben, C. Distinguishing Defensive Pessimism from Depression: Coping Mechanisms', Cognitive Therapy and Research. 1990;14: 385-399.
  24. Hirschfeld, R. M. , Klerman, G. L. , Chodoff, P. , Korchin, S. , Barrett, J. Dependency: Self-Esteem—Clinical Depression. Journal of American Academy of Psychoanalysis, 1976; 4: 373-388.
  25. Ainsworth, M. D. S. , Eichberg G. C. Effects on infant-mother attachment of mother's experience related to loss of an attachment figure. In: C. M. Parkes, J. Stevenson-Hinde, and P. Marris (eds. ), Attachment across the life cycle. Routledge. , New York, 1991, pp. 160-183.
  26. Austin, M. P. , Mitchell, P. , Goodwin, G. M. Cognitive deficits in depression: Possible implications for functional neuropathology. British Journal of Psychiatry, 2001; 178: 200 – 206.
  27. Plumb, M. M. , Holland, J. Comparative studies of psychological function in patients with advanced cancer--I. Self-reported depressive symptoms, Psychosomatic Medicine. 1977; 39: 264-276.
  28. Coyne, J. C. , Fechner-Bates, S. , Schwenk, T. L. Prevalence, nature, and comorbidity of depressive disorders in primary care. General Hospital Psychiatry, 1994; 16, 267-76.
  29. McCaulay, M. , Mintz, L. , Glenn, A. A. Body image, self-esteem, and depression-proneness: Closing the gender gap, Springer Netherlands. 1992; 18:381-391.
  30. Forsell, Y. , Jorm, A. F. , Winblad, B. Association of age, sex, cognitive dysfunction, and disability with major depressive symptoms in an elderly sample. American Journal of Psychiatry, 1994; 151:1600-1604.
  31. Kemp, A. , Rawlingsm, E. I. , Green, G. L. Post-traumatic stress disorder (PTSD) in battered women: A shelter sample. Journal of Traumatic Stress, 1991; 4: 137-148.
  32. Minkoff, K. , Bergman, E. , Beck, A. T. , Beck, R. Hopelessness, Depression, and Attempted Suicide, American Journal of Psychiatry. 1973; 130: 455-459.
  33. Aldrich M. S. , Beck, R. W. , Alber, J. W. Familial recurrent Bell's palsy with with ocular motor palsies. Neurology, 1987; 37(8) :1369-71.
  34. Aneshensel, C. S. , Frerichs, R. R. , Huba, G. J. Depression and Physical illness: A multiwave, no recursive causal model. Journal of Health and Social Behavior. 1984; 25: 350-371.
  35. Casper, R. C. , Redmond, D. E. , Katz, M. M. , Schaffer, C. B. , Davis, J. M. , Koslow, S. H. Somatic Symptoms in Primary Affective Disorder; Presence and Relationship to the Classification of Depression, Archives of General Psychiatry. 1985; 42: 1098-1104.
  36. Mathew, R. J. , Weinman, M. L. Sexual dysfunctions in depression. Archives of Sexual Behavior. 1982; 11: 323-328.
  37. Walford, G. A. , Nelson, W. M. , McCluskey, D. R. Fatigue depression, and social adjustment in chronic fatigue syndrome, Archives of Disease in Childhood, 1993; 68: 384-388.
  38. Livingston, G. , Blizard B. , Mann A. Does sleep disturbance predict depression in elderly people? A study in inner London. British Journal of General Practice, 1993; 43: 445-448.
  39. Cronbach, L. J. Coefficient alpha and the internal structure of tests. Psychometrika, 1951; 16:297-334.
  40. Spearmann C. 'The proof and measurement of association between two things', American Journal of Psychology, 1902; 15:72-101.
  41. Kim, J. O. , Mueller, C. W. Introduction to factor analysis: What it is and how to do it. Beverly Hills, CA: Sage, 1978.
  42. Kaiser, H. F. The varimax criterion for analytic rotation in factor analysis, Psychometrika, 1958, 23: 187–200.
  43. Nunnally, J. C. Psychometric theory (2nd ed. ). McGrawHill. , New York, 1978.
Index Terms

Computer Science
Information Sciences

Keywords

Depression Questionnaire Diagnosis Statistics Model fit Factor analysis

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