Anesthesia depth prediction from drug infusion history using hybrid AI
Abstract Background Accurately predicting the depth of anesthesia is essential for ensuring patient safety and optimizing surgical outcomes. Traditional regression-based approaches often struggle to model the complex and dynamic nature of patient responses to anesthetic agents. Machine learning tech...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2025-04-01
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| coleção: | BMC Medical Informatics and Decision Making |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s12911-025-02986-w |
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