Leveraging artificial intelligence to identify high-risk patients for postoperative sore throat: An observational study
Postoperative sore throat (POST) is a prevalent complication after general anesthesia and targeting high-risk patients helps in its prevention. This study developed and validated a machine learning model to predict POST. A total number of 834 patients who underwent general anesthesia with endotrach...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2023-10-01
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| Series: | Biomolecules & Biomedicine |
| Subjects: | |
| Online Access: | https://www.bjbms.org/ojs/index.php/bjbms/article/view/9519 |