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
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: firstname.lastname@example.org, email@example.com).
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.