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Mining Candidate Viruses as Potential Bio-terrorism Weapons from Biomedical Literature
In this paper we present a semantic-based data mining approach to identify candidate viruses as potential bio-terrorism weapons from biomedical literature. We first identify all the possible properties of viruses as search key words based on Geissler’s 13 criteria; the identified properties are then...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7120915/ http://dx.doi.org/10.1007/11427995_6 |