Schizophrenia Auxiliary Diagnosis System Based on Data Mining Technology.

In order to use digital medical technology to develop and design an auxiliary diagnosis system for schizophrenia to assist doctors at all levels to diagnose and predict the cure of patients, improve the accuracy of diagnosis of symptoms, find complications in advance, and reduce the risk of disease,...

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Publicado en:Journal of Medical Systems Vol. 43; no. 5
Autores principales: Wang, Xiaohong, Zhao, Na, Ouyang, Peng, Lin, Jiayi, Hu, Jian
Formato: equations & formulas tables/charts Journal Article
Publicado: Springer Nature May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
      vid: 43
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-019-1214-8
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        atl: Schizophrenia Auxiliary Diagnosis System Based on Data Mining Technology.
      aug:
        au:
          Wang, Xiaohong
          Zhao, Na
          Ouyang, Peng
          Lin, Jiayi
          Hu, Jian
        affil: Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Nangang District, 150001, Harbin, China
      sug:
        subj:
          Data Mining Methods
          Technology, Medical
          Schizophrenia Diagnosis
          Diagnosis, Computer Assisted
          Decision Support Systems, Management
          Disease Attributes
          Conceptual Framework
          Psychiatric Patients
          Physicians
          Models, Statistical
          Schizophrenia Therapy
          Algorithms
      ab: In order to use digital medical technology to develop and design an auxiliary diagnosis system for schizophrenia to assist doctors at all levels to diagnose and predict the cure of patients, improve the accuracy of diagnosis of symptoms, find complications in advance, and reduce the risk of disease, the application of Bayesian network in auxiliary diagnosis system of schizophrenia is studied, and an auxiliary diagnosis system of schizophrenia is designed. Based on data mining technology, knowledge information can be found from patient data and used to diagnose the nature of patients. The demand analysis of auxiliary diagnosis system is briefly introduced, and an auxiliary diagnosis system for schizophrenia based on Bayesian network is designed.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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