重庆国家应用数学中心 学院邮箱 English
首页学院概况党建思政师资队伍学科建设人才培养科学研究学生工作招生就业合作交流人才招聘
  科研动态
 原首页 
 学院介绍 
 师资队伍 
 学科建设 
 科学研究 
 本科生教育 
 研究生教育 
 学生工作 
 招生工作 
 合作交流 
 党建与思政 
 人才招聘 
快速通道
 
相关链接
 
重师主页 科研系统 图书馆
教务系统 书记院长邮箱 OA系统
科研动态
当前位置: 首页 >> 旧栏目 >> 科学研究 >> 科研动态 >> 正文
学术讲座——Andrew Stranieri(澳大利亚联邦大学副教授)
2014-04-24 16:57     (点击: )

学术报告

 

报告时间:428日(星期一)下午3:00

地点:集贤楼412

题目:Computational intelligence for global challenges in health

报告人: Andrew Stranieri Associate ProfessorCentre for Informatics and Applied Optimisation,Federation University Australia

 

 

摘要:In recent decades, new approaches have emerged for the representation of reasoning so that information and communication technologies can be applied to support complex decision making in fields including law and medicine. Computational intelligence techniques based on argumentation theories have emerged that model the discretionary reasoning common in fields characterised with multiple viewpoints and no single best decision. These techniques underpin health informatics innovations including decision support, data mining and personalised information and make a central contribution to the health care crisis.  The health care crisis has been characterised with rising health costs, shortages of health care professionals, and the increasing prevalence of chronic conditions.  However, an analysis of the crisis demonstrates that computational intelligence advances are likely to transform health care but add as much to the crisis as they resolve.  Instead, a contribution to the crisis’s resolution can be expected to be made by the elevation of complementary and alternative medicine to a status  co-existent with allopathic medicine. For this to occur, numerous cultural, societal and technological challenges need to be addressed.

 

 

个人简介:

Associate Professor Andrew Stranieri is the  Director of the Centre for Informatics and Applied Optimization at the School of Science, Information Technology & Engineering  at Federation University Australia.  His research in combining argumentation theory with machine learning led to a new approach for modeling discretionary reasoning and numerous commercial decision support systems. This formed the basis of approaches to support group reasoning. Currently, he is involved with research in health informatics in data mining, decision support, complementary medicine informatics and telemedicine.  He is the author of over 100 peer reviewed articles and has published three books.

 

 

 

 

关闭窗口

版权所有:best365体育官网登录入口 - 365wm完美体育官网  地址:重庆市沙坪坝区大学城中路37号 汇贤楼
网站:www.xinsenhj.com  邮编:401331

Baidu
sogou