2021
DOI: 10.1186/s12859-021-04397-w
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SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations

Abstract: Background Blood cancers (BCs) are responsible for over 720 K yearly deaths worldwide. Their prevalence and mortality-rate uphold the relevance of research related to BCs. Despite the availability of different resources establishing Disease-Disease Associations (DDAs), the knowledge is scattered and not accessible in a straightforward way to the scientific community. Here, we propose SicknessMiner, a biomedical Text-Mining (TM) approach towards the centralization of DDAs. Our methodology encomp… Show more

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Cited by 4 publications
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