- Title
- Drill-locate-drill algorithm for diagnostic reasoning in psychiatry
- Creator
- Fernando, Irosh; Henskens, Frans A.
- Relation
- International Journal of Machine Learning and Computing Vol. 3, Issue 5, p. 449-452
- Publisher Link
- http://dx.doi.org/10.7763/IJMLC.2013.V3.358
- Publisher
- International Association of Computer Science and Information Technology Press (IACSIT Press)
- Resource Type
- journal article
- Date
- 2013
- Description
- 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.
- Subject
- diagnosis; diagnostic algorithm; psychiatry; screening tool
- Identifier
- http://hdl.handle.net/1959.13/1341738
- Identifier
- uon:28800
- Identifier
- ISSN:2010-3700
- Rights
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license
- Language
- eng
- Full Text
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