The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021)
27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
; : 4104-4105, 2021.
Article
in English
| Scopus | ID: covidwho-1430235
ABSTRACT
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. © 2021 Owner/Author.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
/
Reviews
Language:
English
Journal:
27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
Year:
2021
Document Type:
Article
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