Abstract
Schizophrenia is one of neurobiological disorders whose symptoms appear in young age. Psychiatrists use client-centered therapy to recognize five symptoms of schizophrenia. They comprise: delusions, hallucinations, negative symptoms, grossly disorganized or abnormal motor behavior, and disorganized thinking and speech. Patients experiencing their acute psychotic episode must be quarantined to prevent their unsocial behavior. An early detection of the schizophrenia symptoms is necessary to avoid acute psychotic episodes. An expert system to aid in diagnosing early schizophrenia symptoms is presented in the paper. The system represents psychiatrist knowledge in the form of rules, facts and events and uses them to assess whether a patient suffers from schizophrenia. The knowledge-base is displayed in the form of questions to the patient. The expert system uses forward chaining while gathering the answers from patient. All answers are transformed into facts and processed using Boolean reasoning to generate the diagnosis. The diagnosis states whether the patient has schizophrenia, and if so, it indicates also the type of schizophrenia.which
Keywords
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Manalu, S.R., Abbas, B.S., Gaol, F.L., Lukas, Trawiński, B. (2017). An Expert System to Assist with Early Detection of Schizophrenia. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_75
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