Louis Morisson, Mathieu Nadeau-Vallée, Fabien Espitalier, Pascal Laferrière-Langlois, Moulay Idrissi, Nadia Lahrichi, Céline Gélinas, Olivier Verdonck and Philippe Richebé
Article (2022)
An external link is available for this itemDepartment: | Department of Mathematics and Industrial Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/51633/ |
Journal Title: | Journal of Clinical Monitoring and Computing (vol. 37, no. 1) |
Publisher: | Springer |
DOI: | 10.1007/s10877-022-00897-z |
Official URL: | https://doi.org/10.1007/s10877-022-00897-z |
Date Deposited: | 18 Apr 2023 14:59 |
Last Modified: | 05 Apr 2024 11:56 |
Cite in APA 7: | Morisson, L., Nadeau-Vallée, M., Espitalier, F., Laferrière-Langlois, P., Idrissi, M., Lahrichi, N., Gélinas, C., Verdonck, O., & Richebé, P. (2022). Prediction of acute postoperative pain based on intraoperative nociception level (NOL) index values: the impact of machine learning-based analysis. Journal of Clinical Monitoring and Computing, 37(1), 337-344. https://doi.org/10.1007/s10877-022-00897-z |
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