首页    期刊浏览 2024年12月05日 星期四
登录注册

文章基本信息

  • 标题:Yakshma Samara-an Expert System for Clinical Diagnosis of Tuberculosis
  • 本地全文:下载
  • 作者:Dr. R N Kulkarni ; Mohamed Moies ; ShamiurRahiman H R Bhaisarkar
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2016
  • 卷号:35
  • 期号:3
  • 页码:126-128
  • DOI:10.14445/22312803/IJCTT-V35P123
  • 出版社:Seventh Sense Research Group
  • 摘要:We hear about different kinds of diseases every day. Few of them curable and few incurable. There are also cases where people die suffering from such diseases and few people have to struggle for lifetime due to such diseases. There are many such deadliest diseases, one among them is TB. Millions of deaths occur annually due to TB and many cases will be relapsed due to incomplete treatment. Patients will need all time assistance from the doctors and health care centers which is practically not possible most of the times, and at times patients forget to have their medicines and attend health checkups.In this paper, we are proposing an automated tool called“Yakshma Samara”, which isan android application that enables the users to query about symptoms, diagnosis & treatment of TB and it also sends reminders for health checkups or medications, store the Reports during the complete course of TB treatment. The tool allows the users to interact with their physician and discuss about their treatment.The proposed tool is developed based on the concept Expert System which uses Artificial Intelligence and helps the user to diagnose whether He/ She has TB based on the input such as patient’s details, symptoms, and Tuberculin Skin Test details.
  • 关键词:Expert system; Diagnosis; TB; Relapse TB case; Tuberculin skin test (TST); Underweight.
国家哲学社会科学文献中心版权所有