Towards Dementia Diagnosis Logic
2006 (English)In: 11th Int. Conf. Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'06), Paris: Editions EDK , 2006, 1251-1257 p.Conference paper (Refereed)
Historical motivations for classification systems in health care are requirements
of data collections for statistics. Aims to unify data collections eventually becomes a starting point for nomenclature and ontology developments. Diagnosis encoding
plays an important role in shifting the paradigm from providing statistics
to making decisions. For logic and decision support the situation is non-trivial as nomenclatures continuously change and diagnostic categories are extended.
Further, management of both phenomenology and etiology in differential
diagnosis requires organisation and logical structure of information
modalities and disease taxonomies. In this paper we provide a logical
analysis of a diagnostic manual dividing mental disorders into disorder
types. The subdivision is based on criteria (rule) sets and defining features
(facts). Our focus is on dementia and we show and compare how particular underlying logic for encoding the dementia classifier can manage heterogeneity of individuals
sharing a diagnosis and manyvaluedness of truth regarding diagnosis
of boundary cases.
Place, publisher, year, edition, pages
Paris: Editions EDK , 2006. 1251-1257 p.
DSM-IV, dementia, diagnosis
Research subject Computer Science
IdentifiersURN: urn:nbn:se:umu:diva-20045OAI: oai:DiVA.org:umu-20045DiVA: diva2:208010