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Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach |
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| Authors: | AS Chowdhury ET Lofgren RW Moehring SL Broschat |
| Institution: | 1. School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA;2. Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA;3. Department of Medicine, Duke University School of Medicine, Durham, NC, USA;4. School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA, USA |
| Abstract: | |
| Keywords: | antimicrobial resistance antimicrobial stewardship antimicrobial utilization cubist regression data imputation machine learning patient features standardized antimicrobial administration ratio support vector regression |