Cheerkoot-Jalim Sudha, Khedo Kavi Kumar
Department of Information and Communication Technologies, University of Mauritius, Reduit, Mauritius.
Department of Digital Technologies, University of Mauritius, Reduit, Mauritius.
Health Technol (Berl). 2021;11(6):1205-1217. doi: 10.1007/s12553-021-00605-y. Epub 2021 Oct 25.
Literature-Based Discovery (LBD) is a text mining technique used to generate novel hypotheses from vast amounts of literature sources, by identifying links between concepts from disparate sources. One of the main areas where it has been predominantly applied is the healthcare domain, whereby promising results, in the form of novel hypotheses, have been reported. The purpose of this work was to conduct a systematic literature review of recent publications on LBD in the healthcare domain in order to assess the trends in the approaches used and to identify issues and challenges for such systems.
The review was conducted following the principles of the Kitchenham method. The selected studies have been scrutinized and the derived findings have been reported following the PRISMA guidelines.
The review results reveal useful information regarding the application areas, the data sources considered, the approaches used, the performance in terms of accuracy and reliability and future research challenges. The results of this review will be beneficial to LBD researchers and other stakeholders in the healthcare domain, by providing them with useful insights on the approaches to adopt, data sources to consider, evaluation model to use and challenges to reflect on.
The synthesis of the results of this work has shed light on recent issues and challenges that drive new LBD models and provides avenues for their application in other diverse areas in the healthcare domain. To the best of our knowledge, no such recent review has been conducted.
基于文献的发现（LBD）是一种文本挖掘技术，通过识别不同来源概念之间的联系，从大量文献来源中生成新的假设。它主要应用的主要领域之一是医疗保健领域，在该领域已报告了以新假设形式呈现的有前景的结果。这项工作的目的是对医疗保健领域中有关LBD的近期出版物进行系统的文献综述，以评估所使用方法的趋势，并确定此类系统的问题和挑战。
该综述按照基奇纳姆方法的原则进行。对所选研究进行了仔细审查，并按照PRISMA指南报告了得出的研究结果。
综述结果揭示了有关应用领域、所考虑的数据来源、所使用的方法、准确性和可靠性方面的性能以及未来研究挑战的有用信息。本次综述的结果将有助于LBD研究人员和医疗保健领域的其他利益相关者，为他们提供有关采用何种方法、考虑哪些数据来源、使用何种评估模型以及反思哪些挑战的有用见解。
这项工作结果的综合揭示了推动新LBD模型的近期问题和挑战，并为其在医疗保健领域的其他不同领域的应用提供了途径。据我们所知，尚未进行过此类近期综述。
