How do experts recognize schizophrenia: the role of the disorganization symptom
OBJETIVE: Research on clinical reasoning has been useful in developing expert systems. These tools are based on Artificial Intelligence techniques which assist the physician in the diagnosis of complex diseases. The development of these systems is based on a cognitive model extracted through the ide...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Psiquiatria (ABP)
2006-03-01
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| Series: | Brazilian Journal of Psychiatry |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003&tlng=en |
| _version_ | 1798019593053143040 |
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| author | Denise Razzouk Jair de Jesus Mari Itiro Shirakawa Jacques Wainer Daniel Sigulem |
| author_facet | Denise Razzouk Jair de Jesus Mari Itiro Shirakawa Jacques Wainer Daniel Sigulem |
| author_sort | Denise Razzouk |
| collection | DOAJ |
| description | OBJETIVE: Research on clinical reasoning has been useful in developing expert systems. These tools are based on Artificial Intelligence techniques which assist the physician in the diagnosis of complex diseases. The development of these systems is based on a cognitive model extracted through the identification of the clinical reasoning patterns applied by experts within the clinical decision-making context. This study describes the method of knowledge acquisition for the identification of the triggering symptoms used in the reasoning of three experts for the diagnosis of schizophrenia. METHOD: Three experts on schizophrenia, from two University centers in Sao Paulo, were interviewed and asked to identify and to represent the triggering symptoms for the diagnosis of schizophrenia according to the graph methodology. RESULTS: Graph methodology showed a remarkable disagreement on how the three experts established their diagnosis of schizophrenia. They differed in their choice of triggering-symptoms for the diagnosis of schizophrenia: disorganization, blunted affect and thought disturbances. CONCLUSIONS: The results indicate substantial differences between the experts as to their diagnostic reasoning patterns, probably under the influence of different theoretical tendencies. The disorganization symptom was considered to be the more appropriate to represent the heterogeneity of schizophrenia and also, to further develop an expert system for the diagnosis of schizophrenia. |
| first_indexed | 2024-04-11T16:43:11Z |
| format | Article |
| id | doaj.art-f1f4afc469c24066814dae4876b70e8d |
| institution | Directory Open Access Journal |
| issn | 1809-452X |
| language | English |
| last_indexed | 2024-04-11T16:43:11Z |
| publishDate | 2006-03-01 |
| publisher | Associação Brasileira de Psiquiatria (ABP) |
| record_format | Article |
| series | Brazilian Journal of Psychiatry |
| spelling | doaj.art-f1f4afc469c24066814dae4876b70e8d2022-12-22T04:13:38ZengAssociação Brasileira de Psiquiatria (ABP)Brazilian Journal of Psychiatry1809-452X2006-03-012815910.1590/S1516-44462006000100003How do experts recognize schizophrenia: the role of the disorganization symptomDenise Razzouk0Jair de Jesus Mari1Itiro Shirakawa2Jacques Wainer3Daniel Sigulem4Universidade Federal de São PauloUniversidade Federal de São PauloUniversidade Federal de São PauloUniversidade Federal de São PauloUniversidade Federal de São PauloOBJETIVE: Research on clinical reasoning has been useful in developing expert systems. These tools are based on Artificial Intelligence techniques which assist the physician in the diagnosis of complex diseases. The development of these systems is based on a cognitive model extracted through the identification of the clinical reasoning patterns applied by experts within the clinical decision-making context. This study describes the method of knowledge acquisition for the identification of the triggering symptoms used in the reasoning of three experts for the diagnosis of schizophrenia. METHOD: Three experts on schizophrenia, from two University centers in Sao Paulo, were interviewed and asked to identify and to represent the triggering symptoms for the diagnosis of schizophrenia according to the graph methodology. RESULTS: Graph methodology showed a remarkable disagreement on how the three experts established their diagnosis of schizophrenia. They differed in their choice of triggering-symptoms for the diagnosis of schizophrenia: disorganization, blunted affect and thought disturbances. CONCLUSIONS: The results indicate substantial differences between the experts as to their diagnostic reasoning patterns, probably under the influence of different theoretical tendencies. The disorganization symptom was considered to be the more appropriate to represent the heterogeneity of schizophrenia and also, to further develop an expert system for the diagnosis of schizophrenia.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003&tlng=enArtificial intelligenceExpert systemsKnowledge acquisitionSchizophreniaPsychotic disorders |
| spellingShingle | Denise Razzouk Jair de Jesus Mari Itiro Shirakawa Jacques Wainer Daniel Sigulem How do experts recognize schizophrenia: the role of the disorganization symptom Brazilian Journal of Psychiatry Artificial intelligence Expert systems Knowledge acquisition Schizophrenia Psychotic disorders |
| title | How do experts recognize schizophrenia: the role of the disorganization symptom |
| title_full | How do experts recognize schizophrenia: the role of the disorganization symptom |
| title_fullStr | How do experts recognize schizophrenia: the role of the disorganization symptom |
| title_full_unstemmed | How do experts recognize schizophrenia: the role of the disorganization symptom |
| title_short | How do experts recognize schizophrenia: the role of the disorganization symptom |
| title_sort | how do experts recognize schizophrenia the role of the disorganization symptom |
| topic | Artificial intelligence Expert systems Knowledge acquisition Schizophrenia Psychotic disorders |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462006000100003&tlng=en |
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