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Ghiyasinasab, M., Morisson, L., Laferrière-Langlois, P., Geraldo-Demers, M.-A., Gélinas, C., Nadeau-Vallée, M., Verdonck, O., Lahrichi, N., & Richebé, P. (2022). Identification of the intraoperative antinociceptive effect of intravenous fentanyl using the Nociception Level (NOL) index versus clinical parameters in patients undergoing gynecological laparoscopic surgery: A secondary analysis of the NOLGYN study. Anaesthesia Critical Care & Pain Medicine, 41(4), 101102 (6 pages). External link
Laferrière-Langlois, P., Imrie, F., Geraldo, M.-A., Wingert, T., Lahrichi, N., van der Schaar, M., & Cannesson, M. (2024). Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach. Anesthesia & Analgesia, 139(1), 174-185. External link
Laferrière-Langlois, P. (2022). Phénotypage du patient chirurgical et prédiction de trajectoire post-opératoire par apprentissage machine [Master's thesis, Polytechnique Montréal]. Available
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. External link
