• May 26, 2014 News!Vol.3, No.2 has been indexed by EI(Inspec)!   [Click]
  • Jun 20, 2014 News!Vol.4, No.5 has been published with online version.    [Click]
  • May 23, 2014 News!Vol.4, No.4 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3700
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Mr. Ron C. Wu
    • Abstracing/Indexing: Engineering & Technology Digital Library, Google Scholar, Crossref, ProQuest, Electronic Journals Library, DOAJ and EI (INSPEC, IET).
    • E-mail: ijmlc@vip.163.com
Dr. Lin Huang
Metropolitan State University of Denver, USA

IJMLC 2013 Vol.3(5): 449-452 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.358

Drill-Locate-Drill Algorithm for Diagnostic Reasoning in Psychiatry

Irosh Fernando and Frans A. Henskens
Abstract—This paper introduces a top-down algorithm for diagnosing psychiatric illnesses. It is based on the conceptualisation of diagnostic categories, diagnosis, and symptoms as a hierarchical model. The algorithm assumes that there exist a few close-ended clinical questions that can be used during clinical interview to rule in and rule out diagnostic categories, diagnoses and their symptoms. Compared to a more exhaustive bottom-up and recursive algorithm, which the authors have previously introduced, this algorithm has the advantage of being easy to implement requiring a less extensive knowledgebase. It is expected the algorithm will be used as a useful screening tool that increases the detection of psychiatric disorders, which are common but unfortunately currently under-diagnosed.

Index Terms—Diagnosis, diagnostic algorithm, psychiatry, screening tool.

The authors are with the School of Electrical Engineering & Computer Science, University of Newcastle, NSW 2308, Australia (phone: +61 423 281 664; e-mail: irosh.fernando@uon.edu.au, frans.henskens@newcastle.edu.au).


Cite:Irosh Fernando and Frans A. Henskens, "Drill-Locate-Drill Algorithm for Diagnostic Reasoning in Psychiatry," International Journal of Machine Learning and Computing vol.3, no. 5, pp. 449-452, 2013.

Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press)
E-mail: pub@iacsit.org Tel./Fax:+65-31563599