Scholarlink

Obsession-compulsion disorder (OCD) is a mental health illness that impacts one’s personal and social life. OCD symptoms can worsen and may become more severe if timely not treated. It may also result in the evolution of other health disorders like anxiety, depression, stress, etc., which can unsettle work life, daily routines, and social relationships as well. Unprocessed OCD may also lead to the attempt to suicide. Consequently, it is important to diagnose health disorders on a prior basis. The research aims to classify OCD patients and non-OCD patients by using the decision tree classifier. The proposed model acquires an accuracy of 80.95% accompanied by 81.36% precision and 81.94% recall using the provided symptoms of OCD in the dataset.

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

Obsession-Compulsion Disorder Detection Using Machine Learning Methods

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Shivani Singh,
  • Jyoti Singh,
  • Amita Jain

摘要

Obsession-compulsion disorder (OCD) is a mental health illness that impacts one’s personal and social life. OCD symptoms can worsen and may become more severe if timely not treated. It may also result in the evolution of other health disorders like anxiety, depression, stress, etc., which can unsettle work life, daily routines, and social relationships as well. Unprocessed OCD may also lead to the attempt to suicide. Consequently, it is important to diagnose health disorders on a prior basis. The research aims to classify OCD patients and non-OCD patients by using the decision tree classifier. The proposed model acquires an accuracy of 80.95% accompanied by 81.36% precision and 81.94% recall using the provided symptoms of OCD in the dataset.