Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students.

With the development of society, psychological health becomes a basic standard for a college student to grow into a qualified person. This study is aimed at using data mining principles and methods to excavate the factors that lead to psychological problems of college students, to purposefully carry...

Descripción completa

Detalles Bibliográficos
Publicado en:Occupational Therapy International pp. 1 - 11
Autores principales: Wang, Han, Ji, Xiang, Zhang, Dandan
Formato: research tables/charts Journal Article
Publicado: Wiley-Blackwell 7/14/2022
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157989925&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 157989925
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09667903
        GPF
      jtl: Occupational Therapy International
      issn: 09667903
      maglogo: Y
    pubinfo:
      dt: 7/14/2022
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
    artinfo:
      ui:
        157989925
        157989925
        157989925
        10.1155/2022/1255200
        157989925
      ppf: 1
      ppct: 10
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Decision Tree Algorithm for Visual Art Design in a Psychotherapy System for College Students.
      aug:
        au:
          Wang, Han
          Ji, Xiang
          Zhang, Dandan
        affil: Academy of Fine Arts, Huaibei Normal University, Huaibei, Anhui 235000, China
      sug:
        subj:
          Decision Trees
          Algorithms
          Psychotherapy Methods
          Students, College Psychosocial Factors
          Art
          Data Mining
          Human
          Obsessive-Compulsive Disorder
          Interpersonal Psychotherapy
          Mental Health Education
          Patient Satisfaction
          Counseling
      ab: With the development of society, psychological health becomes a basic standard for a college student to grow into a qualified person. This study is aimed at using data mining principles and methods to excavate the factors that lead to psychological problems of college students, to purposefully carry out psychological interventions, use visual art design methods to promote college students' psychological health treatment, and build a perfect system of college students' psychological treatment. Based on the theories of data mining, we built a data analysis model, elaborated the data preprocessing method, and applied the Apriori algorithm to analyze the data of obsessive-compulsive symptoms and interpersonal sensitivity symptoms, and various psychological problem attributes extracted the strong association rules and analyzed the results. Take advantage of the corresponding unique school environment and educational advantages, to build a set of mental health education methods suitable for modern college students, and truly enable them to obtain satisfactory psychological interventions in a reasonable art design treatment phase. Based on the above association pattern mining results, a series of preprocessing operations were performed on the data, and then, the Apriori algorithm was applied to discover the potential association relationships among 9 psychological dimension factors of college students, and then, the ID3 decision tree algorithm was used to construct a decision tree and pruning process, from which the classification rules of students' psychological problems were analyzed and discovered. These studies provide some practical reference basis for school counseling work.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N