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Report on the Third International Workshop on Semantic Web Meets Health Data Management (SWH 2020)
ACM SIGMOD Record ( IF 0.9 ) Pub Date : 2021-12-02 , DOI: 10.1145/3503780.3503792
Haridimos Kondylakis 1 , Kostas Stefanidis 2 , Praveen Rao 3
Affiliation  

Creating a holistic view of patient data comes with many challenges but also brings many benefits for disease prediction, prevention, diagnosis, and treatment. Especially in the COVID-19 era, this is more important than ever before. The third International Workshop on Semantic Web Meets Health Data Management (SWH) was aimed at bringing together an interdisciplinary audience who was interested in the fields of Semantic Web, data management, and health informatics. The workshop goal was to discuss the challenges in healthcare data management and to propose new solutions for the next generation of data-driven healthcare systems. In this article, we summarize the outcomes of the workshop, and we present a number of key observations and research directions that emerged from presentations.

中文翻译:

第三届语义网遇见健康数据管理国际研讨会报告(SWH 2020)

创建患者数据的整体视图会带来许多挑战,但也会为疾病预测、预防、诊断和治疗带来许多好处。尤其是在 COVID-19 时代,这一点比以往任何时候都更加重要。第三届语义网遇见健康数据管理 (SWH) 国际研讨会旨在汇集对语义网、数据管理和健康信息学领域感兴趣的跨学科观众。研讨会的目标是讨论医疗数据管理中的挑战,并为下一代数据驱动的医疗系统提出新的解决方案。在本文中,我们总结了研讨会的成果,并展示了演讲中出现的一些关键观察和研究方向。
更新日期:2021-12-02
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