Integrating socioeconomic deprivation indices and electronic health record data to predict antimicrobial resistance

Abstract We developed machine learning models to predict the presence of AMR organisms in blood cultures obtained at the first patient encounter, offering a new and inspiring direction for antimicrobial resistance management. Three supervised machine learning classifiers were used: penalized logisti...

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Autors principals:	Marlon I. Diaz, Lauren N. Cooper, John J. Hanna, Alaina M. Beauchamp, Tanvi A. Ingle, Abdi D. Wakene, Zachary Most, Trish Perl, Chaitanya Katterpalli, Tony Keller, Clark Walker, Christoph U. Lehmann, Richard J. Medford
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-03-01
Col·lecció:	npj Antimicrobials and Resistance
Accés en línia:	https://doi.org/10.1038/s44259-025-00090-7
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