Abstract
We are developing computer algorithms to detect critical conditions during surgery, such as light anesthesia or unstable blood pressure (lability), using computerized anesthesia records with hemodynamic data. Changes in mean arterial pressure (MAP) were the best predictors of both conditions, detecting light anesthesia, with a sensitivity of 96% and a specificity of 91%. The agreement between human and computer ratings of blood pressure lability had a correlation coefficient of 0.78.
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Selected References
These references are in PubMed. This may not be the complete list of references from this article.
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