A pragmatic machine learning model to predict carbapenem resistance

Authors

Ryan J McGuire, Washington University School of Medicine in St. Louis
Sean C Yu, Washington University School of Medicine in St. Louis
Philip R O Payne, Washington University School of Medicine in St. Louis
Albert M Lai, Washington University School of Medicine in St. Louis
M Cristina Vazquez-Guillamet, Washington University School of Medicine in St. Louis
Marin H Kollef, Washington University School of Medicine in St. Louis
Andrew P Michelson, Washington University School of Medicine in St. Louis

Journal

Antimicrobial agents and chemotherapy

Publication Date

6-17-2021

Volume

65

Issue

7

First Page

e0006321

Document Type

Open Access Publication

DOI

10.1128/AAC.00063-21

Rights and Permissions

McGuire RJ, Yu SC, Payne PRO, Lai AM, Vazquez-Guillamet MC, Kollef MH, Michelson AP. 2021. A pragmatic machine learning model to predict carbapenem resistance. Antimicrob Agents Chemother 65:e00063-21. https://doi.org/10.1128/AAC.00063-21.

Recommended Citation

McGuire, Ryan J; Yu, Sean C; Payne, Philip R O; Lai, Albert M; Vazquez-Guillamet, M Cristina; Kollef, Marin H; and Michelson, Andrew P, "A pragmatic machine learning model to predict carbapenem resistance." Antimicrobial agents and chemotherapy. 65, 7. e0006321 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10781