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AN EXPERT SYSTEM MODEL IN PSYCHIATRY FOR CASE FORMULATION AND TREATMENT DECISION SUPPORT

Topics: Decision Support Systems; Development of Assistive Technology; e-Health; Knowledge Management; Medical and Nursing Informatics; Pattern Recognition and Machine Learning; Software Systems in Medicine; Therapeutic Systems and Technologies

Authors: Irosh Fernando 1 ; Frans Henskens 1 and Martin Cohen 2

Affiliations: 1 University of Newcastle, Australia ; 2 The Mater Hospital, Australia

ISBN: 978-989-8425-88-1

Keyword(s): Expert systems in psychiatry, Psychiatric case formulation, Treatment decision support, Artificial intelligence in medicine.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Cardiovascular Technologies ; Cloud Computing ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Development of Assistive Technology ; e-Health ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Medical and Nursing Informatics ; Ontologies and the Semantic Web ; Pattern Recognition and Machine Learning ; Platforms and Applications ; Society, e-Business and e-Government ; Software Systems in Medicine ; Therapeutic Systems and Technologies ; Web Information Systems and Technologies

Abstract: Whilst case formulation is a critical task in psychiatry, it is an unexplored area in the field of medical expert systems development, which has mostly focused on the diagnostic inference. Case formulation plays a more important role in planning, and individualising treatments compared to categorical diagnoses. Nevertheless, case formulation is considered to be challenging task even for clinicians due to the highly subjective nature of the psychiatric knowledge, and lack of defined criteria, which are available for diagnoses. Lack of conceptual model, which captures the depth and the complexity of the clinical knowledge and reasoning demonstrated by expert clinicians, is considered to be a one of the root causes of failures in previous approaches. Whilst the authors have described a conceptual model for diagnostic consultation in a separate paper, this paper describes the conceptual model for case formulation and treatment decision support, thus laying down a domain-specific theoretic al foundation required for successful implementation of expert systems in psychiatry. The knowledgebase has been conceptualised as a hierarchically organised set of entities spanning the domains of diagnostic knowledge, etiological knowledge and treatment knowledge, through which an iterative inference is made using the logical inferences of abduction, deduction and induction. (More)

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Paper citation in several formats:
Fernando, I.; Henskens, F. and Cohen, M. (2012). AN EXPERT SYSTEM MODEL IN PSYCHIATRY FOR CASE FORMULATION AND TREATMENT DECISION SUPPORT.In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012) ISBN 978-989-8425-88-1, pages 329-336. DOI: 10.5220/0003701903290336

@conference{healthinf12,
author={Irosh Fernando. and Frans Henskens. and Martin Cohen.},
title={AN EXPERT SYSTEM MODEL IN PSYCHIATRY FOR CASE FORMULATION AND TREATMENT DECISION SUPPORT},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)},
year={2012},
pages={329-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003701903290336},
isbn={978-989-8425-88-1},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)
TI - AN EXPERT SYSTEM MODEL IN PSYCHIATRY FOR CASE FORMULATION AND TREATMENT DECISION SUPPORT
SN - 978-989-8425-88-1
AU - Fernando, I.
AU - Henskens, F.
AU - Cohen, M.
PY - 2012
SP - 329
EP - 336
DO - 10.5220/0003701903290336

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