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This article focuses on the development of artificial intelligence (AI) techniques for the prediction and prediction of disease outbreaks in order to provide early-warning information to public health agencies and to practitioners. It reviews the available data, discusses the challenges involved in developing these techniques and outlines several approaches to the development of this new class of infectious disease epidemiologists. The article is the result of the work done by the Conference on AI for Supportive and Preventative Medicine (AI4SM) held in late April 2017 and sponsored by the Center for Multidisciplinary EU Research Support (CEIMER) in Vilnius, Lithuania.
Thu, 05 Jan 2018 00:00:00 -0500https://acm.org/publications/p11834-artificial-intelligence-and-humanitarian-crisis-response
AI and the Development of New EpidemiologistsThis article focuses on the development of AI techniques for the prediction and prediction of disease outbreaks in order to provide early-warning information to public health agencies and to practitioners. It reviews the available data, discusses the challenges involved in developing these techniques and outlines several approaches to the development of this new class of infectious disease epidemiologists.
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