 This paper proposes a new approach to collecting and analyzing epidemiological information on rare diseases. It uses a deep learning framework to automatically extract epidemiological information from rare disease abstracts, which can then be used to improve the public health of those affected by rare diseases. This article was authored by William Z. Caryampuja, Giochonda Alia, Suthu and others.