首页    期刊浏览 2024年12月04日 星期三
登录注册

文章基本信息

  • 标题:Machine Learning Based Medicinal Care in Cloud
  • 本地全文:下载
  • 作者:Nandita Sengupta ; Ramya chinnasamy
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2017
  • 卷号:47
  • 期号:4
  • 页码:219-226
  • DOI:10.14445/22312803/IJCTT-V47P135
  • 出版社:Seventh Sense Research Group
  • 摘要:The cloud computing is the emerging technology with benefits like reduced investment and maintenance cost, increased scalability, availability and reliability. With the characteristics of ubiquitous access, ondemand access, payperuse service and resiliency, the cloud computing is applied everywhere. Due to nonavailability of specialists in primary health centers in developing and under developing countries, patients are not treated properly. In this paper, treatment model for treating the patients in primary health center has been suggested. This model is built on machine learning system, where IaaS, SaaS, PaaS based cloud computing contribute a lot. Data like symptoms and prescribed medicines for different diseases are collected by different hospitals and various research centers. Same data will be stored in cloud and for similar types of symptoms; medicines can be prescribed whenever required. Thus, in our suggested treatment model, machine learning will help in treating the patients with stored knowledge of specialists through cloud computing.
  • 关键词:Cloud computing; Data; Knowledge; Machine Learning; Specialists; Symptoms
国家哲学社会科学文献中心版权所有