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...
| 出版年: | Antimicrobial Resistance and Infection Control |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
BMC
2023-09-01
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| 主題: | |
| オンライン・アクセス: | https://doi.org/10.1186/s13756-023-01294-0 |
