Scholarlink

Because of the greater pressure and strain of today’s contemporary way of life, more people are experiencing psychological issues and anomalies. Nevertheless, an extensive cohort study has not yet examined the usefulness of these abnormalities in identifying individual patients with bipolar disorder from those with mood disorders or healthy controls, or in classifying individuals according to the overall burden of their condition. Using the Mood Disorder Questionnaire (MDQ), this study screens for bipolar illness using a machine learning approach. The most important feature in the dataset was identified and made the decision factor at that level of the decision tree by the Decision Tree Classifier, that received the information set.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Mental Disorder Detection Bipolar Disorder Scrutinization Using Machine Learning

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Shazia Farooq,
  • Sukhjinder Kaur

摘要

Because of the greater pressure and strain of today’s contemporary way of life, more people are experiencing psychological issues and anomalies. Nevertheless, an extensive cohort study has not yet examined the usefulness of these abnormalities in identifying individual patients with bipolar disorder from those with mood disorders or healthy controls, or in classifying individuals according to the overall burden of their condition. Using the Mood Disorder Questionnaire (MDQ), this study screens for bipolar illness using a machine learning approach. The most important feature in the dataset was identified and made the decision factor at that level of the decision tree by the Decision Tree Classifier, that received the information set.