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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
Editor-in-chief
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).

[PDF]

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.

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