{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/large-scale-modeling-of-antimicrobial","title":"Large scale modeling of antimicrobial resistance with interpretable classifiers","arxiv_id":"1612.01030","date":"2016-12-03","proceeding":null,"authors":["Alexandre Drouin","Frédéric Raymond","Gaël Letarte St-Pierre","Mario Marchand","Jacques Corbeil","François Laviolette"],"abstract":"Antimicrobial resistance is an important public health concern that has\nimplications in the practice of medicine worldwide. Accurately predicting\nresistance phenotypes from genome sequences shows great promise in promoting\nbetter use of antimicrobial agents, by determining which antibiotics are likely\nto be effective in specific clinical cases. In healthcare, this would allow for\nthe design of treatment plans tailored for specific individuals, likely\nresulting in better clinical outcomes for patients with bacterial infections.\nIn this work, we present the recent work of Drouin et al. (2016) on using Set\nCovering Machines to learn highly interpretable models of antibiotic resistance\nand complement it by providing a large scale application of their method to the\nentire PATRIC database. We report prediction results for 36 new datasets and\npresent the Kover AMR platform, a new web-based tool allowing the visualization\nand interpretation of the generated models.","url_abs":"http://arxiv.org/abs/1612.01030v1","url_pdf":"http://arxiv.org/pdf/1612.01030v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"large-scale-modeling-of-antimicrobial","repo_url":"https://github.com/aldro61/kover","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}