Application Hybrid Model to Support in the Diagnosis of Posttraumatic Stress Disorder
نویسندگان
چکیده
Among the main causes of low productivity at work, absence from work hours and even disability professionals, are the psychological disorders. Which most often manifests as psychotic disorders, mood disorders, anxiety disorders, antisocial personality, multiple personality disorder and substance abuse, causing damage to the person himself, his family and to the productive system in the country One of the major problems is related to the lack of early diagnosis, which has provided late and reactive measures when the trader is affected by psychological disorder is already showing signs of inability to work. This study aims to present an alternative to help in decision making when seeking to establish early diagnosis of psychological disorders, specifically those related to the disorder of posttraumatic stress. It presents a proposal for a hybrid expert system consists of structured methodologies for decision support (Multi-Criteria Decision Analysis MCDA) and representations of structured knowledge in production rules and probabilities (Artificial Intelligence AI).
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