2016/08/25 by Roman Ilin, Barbara A. Han, Ilin, Roman +1
Mathematics · Medicine · #FOS: Computer and information sciences #Machine Learning (stat.ML) #Zoonotic diseases and public health #stat.ML
paper · pdf · doi:10.48550/arxiv.1608.07241
5 pages, presented at 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, New York, NY
arxiv created 2016/08/25 · openalex publication_date 2016/08/25 · arxiv updated 2016/08/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The technique of Formal Concept Analysis is applied to a dataset describing the traits of rodents, with the goal of identifying zoonotic disease carriers,or those species carrying infections that can spillover to cause human disease. The concepts identified among these species together provide rules-of-thumb about the intrinsic biological features of rodents that carry zoonotic diseases, and offer utility for better targeting field surveillance efforts in the search for novel disease carriers in the wild.