Development of machine learning models for the detection of surgical site infections following total hip and knee arthroplasty: a multicenter cohort study
Abstract Background Population based surveillance of surgical site infections (SSIs) requires precise case-finding strategies. We sought to develop and validate machine learning models to automate the process of complex (deep incisional/organ space) SSIs case detection. Methods This retrospective co...
में बचाया:
| मुख्य लेखकों: | , , , , , , , , , , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
BMC
2023-09-01
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| श्रृंखला: | Antimicrobial Resistance and Infection Control |
| विषय: | |
| ऑनलाइन पहुंच: | https://doi.org/10.1186/s13756-023-01294-0 |
| टैग: |
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