A healthcare-oriented mobile question-and-answering system for smart cities,Transactions on Emerging Telecommunications Technologies

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A healthcare-oriented mobile question-and-answering system for smart cities
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2020-07-01 , DOI: 10.1002/ett.4012
Yueshen Xu ₁ , Yan Jiang ₁ , Rui Li ₁ , Honghao Gao ₂ , Jin Guo ₁ , Yaning Liu ₁ , Lei Hei ₃ , Yihao Wang ₄

Affiliation

Question-and-answering (QA) systems are popularly applied and deployed in many fields and industries, such as e-commerce platforms, government departments, and educational industry. However, the requirement for QA systems in healthcare industry has still not been satisfied, especially the requirement for mobile QA systems. In this article, we develop a healthcare-oriented mobile QA system for smart cities. The developed system is constructed with artificial intelligence and mobile computing techniques, including natural language processing, information retrieval, and service computing. To meet the strict requirement of healthcare-oriented information systems, we design a series of models, algorithms, and computation methods. The designed QA system contains three modules, which are classifier, QA engine, and chatbots API. We study the performance of different classifiers, including neural network-based classifier, support vector machine (SVM), and AdaBoost-based classifier. The QA engine consists of two submodules, that is, semantic processing and answers retrieval. Semantic processing contains part-of-speech tagging and dependency parsing. The answers retrieval module contains index building and searching. We perform a series of experiments to evaluate the performance of our system and present the experimental results. The built mobile QA system has been applied in real-world hospitals and communities and receives satisfied user experience.

中文翻译：

面向医疗保健的智慧城市移动问答系统

问答（QA）系统广泛应用于电子商务平台、政府部门、教育行业等诸多领域和行业。然而，医疗行业对QA系统的需求仍未得到满足，尤其是对移动QA系统的需求。在本文中，我们为智慧城市开发了一个面向医疗保健的移动 QA 系统。开发的系统采用人工智能和移动计算技术构建，包括自然语言处理、信息检索和服务计算。为了满足面向医疗保健的信息系统的严格要求，我们设计了一系列模型、算法和计算方法。设计的QA系统包含三个模块，分别是分类器、QA引擎和聊天机器人API。我们研究了不同分类器的性能，包括基于神经网络的分类器、支持向量机 (SVM) 和基于 AdaBoost 的分类器。QA引擎由语义处理和答案检索两个子模块组成。语义处理包含词性标注和依赖解析。答案检索模块包含索引构建和搜索。我们进行了一系列实验来评估我们系统的性能并展示实验结果。构建的移动QA系统已应用于现实世界的医院和社区，并获得满意的用户体验。语义处理包含词性标注和依赖解析。答案检索模块包含索引构建和搜索。我们进行了一系列实验来评估我们系统的性能并展示实验结果。构建的移动QA系统已应用于现实世界的医院和社区，并获得满意的用户体验。语义处理包含词性标注和依赖解析。答案检索模块包含索引构建和搜索。我们进行了一系列实验来评估我们系统的性能并展示实验结果。构建的移动QA系统已应用于现实世界的医院和社区，并获得满意的用户体验。

更新日期：2020-07-01

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