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首页> 外文会议>2016 IEEE First Conference on Connected Health: Applications, Systems and Engineering Technologies >Bring Biomedical Ontologies to Personalized Healthcare: A Smart Inquiry Framework
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Bring Biomedical Ontologies to Personalized Healthcare: A Smart Inquiry Framework

机译：将生物医学本体论引入个性化医疗保健：智能查询框架

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High-quality inquiry (i.e. history taking) is the foundation of accurate diagnosis. Traditionally, inquiry occurs between doctors and patients, requiring lots of time and patience, but often receiving a lot of complaints. This paper proposes a smart inquiry framework, aiming for interacting with patient readily by mining personalized questions from biomedical big data. In other words, the patient can tell his feelings at any time and place, then the system will ask you simple questions, just like an experienced and very kind doctor. What you should do is answering Yes or No. Finally, you will get a preliminary suggestion. There are two key technologies in this paper: 1) training a probability graph from the medical big data, as the whole framework's knowledge base, 2) based on the recommendation algorithm, designing an automatic question answering system, to guide the patients speaking out other more symptoms from the initial feeling. The new proposed framework can serve everyone with low cost and high efficiency, helping them to dynamically sort out and record the state of the body. This will play a fundamental role in the field of personalized healthcare.
机译：高质量的查询（即历史记录）是准确诊断的基础。传统上，询问是在医生和患者之间进行的，需要大量时间和耐心，但通常会收到很多投诉。本文提出了一个智能查询框架，旨在通过从生物医学大数据中挖掘个性化问题来轻松地与患者互动。换句话说，患者可以随时随地说出自己的感受，然后系统会像经验丰富且非常友好的医生一样向您询问一些简单的问题。您应该做的是回答是或否。最后，您将得到初步建议。本文有两种关键技术：1）从医学大数据中训练一个概率图，作为整个框架的知识库； 2）基于推荐算法，设计一个自动问答系统，指导患者说出其他的信息。更多的症状来自最初的感觉。提出的新框架可以为所有人提供低成本和高效率的服务，帮助他们动态地分类并记录身体的状态。这将在个性化医疗领域发挥重要作用。

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