BioASQ Synergy: A Dialogue between QA systems and biomedical experts for promoting COVID-19 research.

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anastasia Krithara, Anastasios Nentidis, Eirini Vandorou, Georgios Katsimpras, Yannis Almirantis, Magda Arnal, Adomas Bunevicius, Eulalia Farre-Maduell, Maya Kassiss, Vasileios Konstantakos, Sherri Matis-Mitchell, Dimitris Polychronopoulos, Jesus Rodriguez-Pascual, Eleftherios G Samaras, Martina Samiotaki, Despina Sanoudou, Aspasia Vozi, Georgios Paliouras
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引用次数: 0

Abstract

Objective: This paper presents the novel BioASQ Synergy research process which aims to facilitate the interaction between biomedical experts and automated question answering systems.

Materials and methods: The proposed research allows systems to provide answers to emerging questions, which in turn are assessed by experts. The assessment of the experts is fed back to the systems, together with new questions. With this iteration, we aim to facilitate the incremental understanding of a developing problem and contribute to solution discovery.

Results: The results suggest that the proposed approach can assist researchers to navigate available resources. The experts seem to be very satisfied with the quality of the ideal answers provided by the systems, suggesting that such systems are already useful in answering open research questions.

Discussion: BioASQ Synergy aspire to provide a tool that gives the experts easy and personalised access to the latest findings in a fast growing corpus of material.

Conclusion: In this paper we envisioned BioASQ Synergy as a continuous dialogue between experts and systems to issue open questions. We ran an initial proof-of-concept of the approach, in order to evaluate its usefulness, both from the side of the experts, as well as from the side of the participating systems.

BioASQ Synergy:质量保证系统与生物医学专家之间的对话,促进 COVID-19 研究。
目的本文介绍了新颖的 BioASQ Synergy 研究过程,该过程旨在促进生物医学专家与自动问题解答系统之间的互动:所提议的研究允许系统为新出现的问题提供答案,然后由专家进行评估。专家的评估结果与新问题一起反馈给系统。通过这种迭代,我们旨在促进对发展中问题的渐进式理解,并为发现解决方案做出贡献:结果:结果表明,所提出的方法可以帮助研究人员浏览可用资源。专家们似乎对系统所提供的理想答案的质量非常满意,这表明此类系统在回答开放式研究问题时已经非常有用:讨论:BioASQ Synergy 希望提供一种工具,让专家们能够轻松、个性化地访问快速增长的资料库中的最新研究成果:在本文中,我们将 BioASQ Synergy 设想为专家与系统之间的持续对话,以提出开放性问题。我们对该方法进行了初步概念验证,以便从专家和参与系统两方面评估其实用性。
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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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