Can Machine Learning Assist Epidemiologists in Drawing Causal Inference?Danish Epidemiological Society Annual Meeting on 20th-21st April 2020
Machine learning, artificial intelligence and big data. These buzzwords are used more and more, also within epidemiology, and are regularly cited as fundamental for future healthcare and the provision of precision medicine. But how far are we as epidemiologists in implementing these methods in our work? What is the true potential for using these models for prediction on a population level? What are the conditions, tools, and frameworks necessary to use these methodological domains for determining causes of disease, and their impact on populations?
This 2-day meeting aims to chart the landscape of machine learning in epidemiology, and to provoke discussion of the potential for research using the Danish national registers to contribute to this growing field.
Speakers include Ashley Naimi, University of Pittsburgh, Claus Thorn Ekstrøm, University of Copenhagen, Laura Balzer, University of Massachusetts and many more.
Invitationen til årsmødet findes
her. Mødet afholdes på Storebælt Sinatur Hotel & Konference, østerøvej 121, 5800 Nyborg
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hjemmeside.
Sidste tilmelding er den 8 marts 2020.
Prisen for DES-medlemmer eller medlemmer at et andet LVS selskab er 2000 kr.
Prisen for ikke-medlemmer er 2800 kr.
Prisen for Ph.d. studerende der er medlem af DES eller et andet LVS selskab er 1500 kr.