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Reseach Article

Implementation of Expert System for Medical Assistance in Disruptive Mood Disorders(ESDMD)

by Prachi Goel, Deepak Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 2
Year of Publication: 2014
Authors: Prachi Goel, Deepak Sharma
10.5120/18494-9556

Prachi Goel, Deepak Sharma . Implementation of Expert System for Medical Assistance in Disruptive Mood Disorders(ESDMD). International Journal of Computer Applications. 106, 2 ( November 2014), 32-37. DOI=10.5120/18494-9556

@article{ 10.5120/18494-9556,
author = { Prachi Goel, Deepak Sharma },
title = { Implementation of Expert System for Medical Assistance in Disruptive Mood Disorders(ESDMD) },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 2 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number2/18494-9556/ },
doi = { 10.5120/18494-9556 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:20.764139+05:30
%A Prachi Goel
%A Deepak Sharma
%T Implementation of Expert System for Medical Assistance in Disruptive Mood Disorders(ESDMD)
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 2
%P 32-37
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper the design of the Expert System for Medical Assistance in Disruptive Mood Disorders is shown as implementation. Medical Science has been taking continuous efforts in the research and spread of awareness on the covert stress building up in an individuals' life. Due to an exhaustive routine, there is a tendency of the amplitude of this stress elevating thus causing disorders of many kinds. One of this being mood disorders, which goes undetected most of the time. An Expert System can help diagnose human Disruptive Mood Disorder (DMD), assist in tracing the individual's mood and simultaneously throw light on changes in mood patterns. An Expert System with the expert knowledge base in its domain can give diagnosis of such mood disorders. It can also portray the role of a working memory and an inference engine to develop the rule logic with the former handling the users view and latter handling the methodology of producing the output to the user. At the same time the Expert System would also learn various mood patterns and improvise the rules based on user data.

References
  1. Prachi Goel,,Deepak Sharma, International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463 Vol. 3 Issue 8, August-2014, pp: (230-237)
  2. Folorunso, I. O, Abikoye, Jimoh Rule Based Expert System for Mineral Identification JETCIS 2012
  3. Annaiahshetty, K. ; Prasad, N. , "Expert System for Multiple Domain Experts Knowledge Acquisition in Software Designand Development," Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on , vol. ,no. , pp. 196,201, 10-12April2013.
  4. Valenza, G. ; Nardelli, M. ; Lanata, A. ; Gentili, C. ; Bertschy, G. ; Paradiso, R. ; Scilingo, E. P. , "Wearable Monitoring for Mood Recognition in Bipolar Disorder based on History-Dependent Long-Term Heart Rate Variability Analysis," Biomedical and Health Informatics, IEEE Journal of , vol. PP, no. 99, pp. 1,1 doi: 10. 1109/JBHI. 2013. 2290382
  5. Kemppinen, Juha; Korpela, Jukka; Partners, Roce; Elfvengren, Kalle; Salmisaari, Timo; Polkko, Jussi; Tuominen, Markku,"A Clinical Decision Support System for Adult ADHD Diagnostics Process," System Sciences (HICSS), 2013 46th Hawaii International Conference on , vol. , no. , pp. 2616,2625, 7-10 Jan. 2013.
  6. Hu-Chen Liu; Qing-Lian Lin; Ling-Xiang Mao; Zhi-Ying Zhang, "Dynamic Adaptive Fuzzy Petri Nets for Knowledge Representation and Reasoning," Systems, Man, and Cybernetics: Systems, IEEE Transactions on , vol. 43, no. 6, pp. 1399,1410, Nov. 2013.
  7. Yuanchao Ma; Bin Xu; Yin Bai; Guodong Sun; Run Zhu, "Daily Mood Assessment Based on Mobile Phone Sensing," Wearable and Implantable Body Sensor Networks (BSN), 2012 Ninth International Conference on , vol. , no. , pp. 142,147, 9-12 May 2012.
  8. Moore, P. J. ; Little, M. A. ; McSharry, P. E. ; Geddes, J. R. ; Goodwin, G. M. , "Forecasting Depression in Bipolar Disorder,"Biomedical Engineering, IEEE Transactions on , vol. 59, no. 10,pp. 2801,2807,Oct. 2012.
  9. Masri, R. Y. ; Jani, H. M. , "Employing artificial intelligence techniques in Mental Health Diagnostic Expert System," Computer & Information Science (ICCIS), 2012 International Conference on , vol. 1, no. , pp. 495,499, 12-14 June 2012.
  10. Tingshao Zhu; Yue Ning; Ang Li; Xinguo Xu, "Using decision tree to predict mental health status based on web behavior," Web Society (SWS), 2011 3rd Symposium on , vol. , no. ,pp. 27,31,26-28Oct. 2011.
  11. Paradiso, R. ; Faetti, T. ; Werner, S. , "Wearable monitoring systems for psychological and physiological state assessment in naturalistic environment," Engineering in Medicine and Biology Society,EMBC, 2011 Annual International Conference of the IEEE , vol. , no. , pp. 2250,2253,Aug. 302011-Sept. 32011.
  12. Frost, M. ; Marcu, G. ; Hansen, R. ; Szaanto, K. ; Bardram, J. E. , "The MONARCA self-assessment system: Persuasivepersonal monitoring for bipolar patients," Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5thInternational Conference on , vol. , no. , pp. 204,205, 23-26May2011.
  13. Schleusing, O. ; Renevey, P. ; Bertschi, M. ; Dasen, S. ; Koller, J-M; Paradiso, R. , "Monitoring physiological and behavioral signals to detect mood changes of bipolar patients," Medical Information & Communication Technology (ISMICT), 2011 5th InternationalSymposiumon,vol. ,no. ,pp. 130,134,27-30March2011.
  14. Fernando, I. ; Henskens, F. ; Cohen, M. , "A Domain Specific Expert System Model for Diagnostic Consultation in Psychiatry," Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2011 12th ACIS International Conference on , vol. , no. , pp. 3,6, 6-8 July 2011.
  15. Marcu, G. ; Bardram, J. E. ; Gabrielli, S. , "A framework for overcoming challenges in designing persuasive monitoring and feedback systems for mental illness,"Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on , vol. , no. , pp. 1,8, 23-26 May 2011.
  16. Eung-Hun Kim; Coumar, A. ; Lober, W. B. ; Yongmin Kim, "Addressing Mental Health Epidemic Among University Students via Web-based, Self-Screening, and Referral System: A Preliminary Study," Information Technology in Biomedicine, IEEE Transactions on , vol. 15, no. 2, pp. 301,307, March 2011.
  17. Blum, J. M. ; Magill, E. H. , "The Design and Evaluation of Personalised Ambient Mental Health Monitors," Consumer Communications and Networking Conference (CCNC), 2010 7thIEEEvol. no. ,pp. 1,5,9-12Jan. 2010.
  18. Prociow, P. A. ; Crowe, John A. , "Development of mobile psychiatry for bipolar disorder patients," Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , vol. , no. , pp. 5484,5487,Aug. 31 2010-Sept. 4 2010.
  19. Paradiso, R. ; Bianchi, A. M. ; Lau, K. ; Scilingo, E. P. , "PSYCHE: Personalised monitoring systems for care in mentalhealth," Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE , vol. ,no. , pp. 3602,3605, Aug. 31 2010-Sept. 4 2010.
  20. http://www. slideshare. net/annajaved7331/expert-systems-in-artificial-intelegence
  21. http://www. cisjournal. org/journalofcomputing/archive/vol3no2/vol3no2_12. pdf
Index Terms

Computer Science
Information Sciences

Keywords

Mood Disorders Expert System DMD DSM V rule based reasoning fuzzy petri nets and fuzzy genetic algorithms