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An Expert System to Assist with Early Detection of Schizophrenia

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10191))

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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

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Author information

Authors and Affiliations

  1. Computer Science Doctoral Study Program, Bina Nusantara University, Jakarta, Indonesia

    Sonya Rapinta Manalu, Bahtiar Saleh Abbas, Ford Lumban Gaol &  Lukas

  2. School of Computer Science, Bina Nusantara University, Jakarta, Indonesia

    Sonya Rapinta Manalu

  3. Cognitive Engineering Research Group (CERG), Faculty of Engineering, Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia

    Lukas

  4. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

Authors
  1. Sonya Rapinta Manalu
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  2. Bahtiar Saleh Abbas
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  3. Ford Lumban Gaol
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  4. Lukas
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  5. Bogdan Trawiński
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Corresponding author

Correspondence to Bogdan Trawiński .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology , Wrocław, Poland

    Bogdan Trawiński

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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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  • DOI: https://doi.org/10.1007/978-3-319-54472-4_75

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54471-7

  • Online ISBN: 978-3-319-54472-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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