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Article: Recognising psychiatric symptoms. Relevance to the diagnostic process

TitleRecognising psychiatric symptoms. Relevance to the diagnostic process
Authors
Issue Date1993
PublisherRoyal College of Psychiatrists. The Journal's web site is located at http://bjp.rcpsych.org/
Citation
British Journal Of Psychiatry, 1993, v. 163 SEPT., p. 308-314 How to Cite?
AbstractCurrent overemphasis on nosological diagnosis has led to a neglect of the process of symptom recognition. There is evidence, however, that the perception of the symptom alone does not guarantee symptom ascertainment since a decision-making component is also involved. To achieve the latter, additional information must be provided by the contextual cues implicit in the ongoing diagnostic hypothesis. Current diagnostic systems, however, still assume a two-stage model according to which symptom and disease recognition are independent cognitive events. This paper suggests that this model is inadequate and that descriptive psychopathology is not transparent. It then describes a neural network simulation to make various aspects of the problem explicit. This takes into account the multidimensional and probabilistic aspects of symptom recognition and is, from this point of view, superior to traditional algorithmic models. It also has the capacity to represent the different cognitive styles involved in symptom recognition.
Persistent Identifierhttp://hdl.handle.net/10722/171878
ISSN
2015 Impact Factor: 7.06
2015 SCImago Journal Rankings: 2.674
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorBerrios, GEen_US
dc.contributor.authorChen, EYHen_US
dc.date.accessioned2012-10-30T06:18:08Z-
dc.date.available2012-10-30T06:18:08Z-
dc.date.issued1993en_US
dc.identifier.citationBritish Journal Of Psychiatry, 1993, v. 163 SEPT., p. 308-314en_US
dc.identifier.issn0007-1250en_US
dc.identifier.urihttp://hdl.handle.net/10722/171878-
dc.description.abstractCurrent overemphasis on nosological diagnosis has led to a neglect of the process of symptom recognition. There is evidence, however, that the perception of the symptom alone does not guarantee symptom ascertainment since a decision-making component is also involved. To achieve the latter, additional information must be provided by the contextual cues implicit in the ongoing diagnostic hypothesis. Current diagnostic systems, however, still assume a two-stage model according to which symptom and disease recognition are independent cognitive events. This paper suggests that this model is inadequate and that descriptive psychopathology is not transparent. It then describes a neural network simulation to make various aspects of the problem explicit. This takes into account the multidimensional and probabilistic aspects of symptom recognition and is, from this point of view, superior to traditional algorithmic models. It also has the capacity to represent the different cognitive styles involved in symptom recognition.en_US
dc.languageengen_US
dc.publisherRoyal College of Psychiatrists. The Journal's web site is located at http://bjp.rcpsych.org/en_US
dc.relation.ispartofBritish Journal of Psychiatryen_US
dc.subject.meshDecision Support Techniquesen_US
dc.subject.meshDiagnosis, Differentialen_US
dc.subject.meshHumansen_US
dc.subject.meshMental Disorders - Classification - Diagnosis - Psychologyen_US
dc.subject.meshNeural Networks (Computer)en_US
dc.subject.meshPsychiatric Status Rating Scalesen_US
dc.titleRecognising psychiatric symptoms. Relevance to the diagnostic processen_US
dc.typeArticleen_US
dc.identifier.emailChen, EYH:eyhchen@hku.hken_US
dc.identifier.authorityChen, EYH=rp00392en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1192/bjp.163.3.308-
dc.identifier.pmid8401958-
dc.identifier.scopuseid_2-s2.0-0027283685en_US
dc.identifier.volume163en_US
dc.identifier.issueSEPT.en_US
dc.identifier.spage308en_US
dc.identifier.epage314en_US
dc.identifier.isiWOS:A1993LY46400004-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridBerrios, GE=7101713240en_US
dc.identifier.scopusauthoridChen, EYH=7402315729en_US

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