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健康与生活方式支持系统中的推理与数据表示

Reasoning and Data Representation in a Health and Lifestyle Support System.

作者信息

Hanke Sten, Kreiner Karl, Kropf Johannes, Scase Marc, Gossy Christian

机构信息

AIT Austrian Institute of Technology GmbH, Vienna, Austria.

De Monfort University, Leicester, UK.

出版信息

Stud Health Technol Inform. 2017;235:8-12.

Abstract

Case-based reasoning and data interpretation is an artificial intelligence approach that capitalizes on past experience to solve current problems and this can be used as a method for practical intelligent systems. Case-based data reasoning is able to provide decision support for experts and clinicians in health systems as well as lifestyle systems. In this project we were focusing on developing a solution for healthy ageing considering daily activities, nutrition as well as cognitive activities. The data analysis of the reasoner followed state of the art guidelines from clinical practice. Guidelines provide a general framework to guide clinicians, and require consequent background knowledge to become operational, which is precisely the kind of information recorded in practice cases; cases complement guidelines very well and helps to interpret them. It is expected that the interest in case-based reasoning systems in the health.

摘要

基于案例的推理和数据解释是一种人工智能方法,它利用过去的经验来解决当前的问题,并且可以用作实用智能系统的一种方法。基于案例的数据推理能够为健康系统以及生活方式系统中的专家和临床医生提供决策支持。在这个项目中,我们专注于开发一种考虑日常活动、营养以及认知活动的健康老龄化解决方案。推理器的数据分析遵循临床实践的最新指南。指南提供了一个指导临床医生的总体框架,并且需要相应的背景知识才能发挥作用,而这正是实践案例中记录的那种信息;案例很好地补充了指南并有助于对其进行解释。预计健康领域对基于案例的推理系统会有兴趣。

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