The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021)
The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021)
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第四届流行病学国际研讨会满足数据挖掘和知识发现 (epiDAMIK 4.0 @ KDD2021)
DOI：
10.1145/3447548.3469475
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Prakash, B. Aditya
中科院分区：
文献类型：
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作者：
Adhikari, Bijaya;Srivastava, Ajitesh;Pei, Sen;Kefayati, Sarah;Yu, Rose;Yadav, Amulya;Rodríguez, Alexander;Ramanathan, Arvind;Vullikanti, Anil;Prakash, B. Aditya
第四届epiDAMIK@SIGKDD研讨会是一个论坛，讨论数据挖掘如何在流行病学和公共卫生研究中发挥更大作用的新见解。虽然将数据科学方法整合到流行病学中具有巨大的潜力，但仍处于研究阶段。我们的目标是提高数据驱动和计算流行病学这一新兴研究领域的知名度，并创建一个场所，用于展示最先进的和正在进行的结果，特别是那些难以在大型数据挖掘会议上展示的结果，包括在“战壕”中吸取的经验教训。当前的COVID-19疫情恰恰显示了这一领域的紧迫性和重要性。我们的目标受众包括来自学术界和工业界的数据挖掘和机器学习研究人员，他们对流行病学和公共卫生应用感兴趣，以及来自数学流行病学和公共卫生领域的从业者。
The 4th epiDAMIK@SIGKDD workshop is a forum to discuss new insights into how data mining can play a bigger role in epidemiology and public health research. While the integration of data science methods into epidemiology has significant potential, it remains under studied. We aim to raise the profile of this emerging research area of data-driven and computational epidemiology, and create a venue for presenting state-of-the-art and in-progress results-in particular, results that would otherwise be difficult to present at a major data mining conference, including lessons learnt in the 'trenches'. The current COVID-19 pandemic has only showcased the urgency and importance of this area. Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work, and practitioners from the areas of mathematical epidemiology and public health.