The present study aimed at automated personality of schizophrenic patient by using House Tree Person technique. In order to do the assessment, the sample of 70 schizophrenic indoor patients was selected through purposive sampling technique (N = 70). HTP was administer in order to gather data on the personality characteristic of schizophrenic patients. Then HTP was manually interpreted in order to train the model about the features of the drawing in HTP and the interpretation of the drawing as well as considering post interrogative questions. After that the data on HTP was entered with the help of feature extraction technique and available output was used in order to train the model for automatic assessment of the personality. In this way the specific personality characteristics were identified on the basis of categories of the vulnerability and existence of the disorder i.e. severity of the problem.

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Automatic HTP Assessment for Schizophrenic Patients Using Machine Learning

  • Muhammad Zubair,
  • Samra Kyinat,
  • Sohail Masood

摘要

The present study aimed at automated personality of schizophrenic patient by using House Tree Person technique. In order to do the assessment, the sample of 70 schizophrenic indoor patients was selected through purposive sampling technique (N = 70). HTP was administer in order to gather data on the personality characteristic of schizophrenic patients. Then HTP was manually interpreted in order to train the model about the features of the drawing in HTP and the interpretation of the drawing as well as considering post interrogative questions. After that the data on HTP was entered with the help of feature extraction technique and available output was used in order to train the model for automatic assessment of the personality. In this way the specific personality characteristics were identified on the basis of categories of the vulnerability and existence of the disorder i.e. severity of the problem.