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Using machine learning to predict outcomes following carotid endarterectomy.
Li B, Beaton D, Eisenberg N, Lee DS, Wijeysundera DN, Lindsay TF, de Mestral C, Mamdani M, Roche-Nagle G, Al-Omran M. Li B, et al. Among authors: mamdani m. J Vasc Surg. 2023 Oct;78(4):973-987.e6. doi: 10.1016/j.jvs.2023.05.024. Epub 2023 May 20. J Vasc Surg. 2023. PMID: 37211142
Association of preoperative anaemia with cardiopulmonary exercise capacity and postoperative outcomes in noncardiac surgery: a substudy of the Measurement of Exercise Tolerance before Surgery (METS) Study.
Bartoszko J, Thorpe KE, Laupacis A, Wijeysundera DN; METS Study Investigators; International and National Coordinators; Central Project Office Operations Committee; CPET Methods Committee; Outcome Adjudication Committee; International Steering Committee. Bartoszko J, et al. Br J Anaesth. 2019 Aug;123(2):161-169. doi: 10.1016/j.bja.2019.04.058. Epub 2019 Jun 19. Br J Anaesth. 2019. PMID: 31227271 Free PMC article.
Using machine learning to predict outcomes following suprainguinal bypass.
Li B, Eisenberg N, Beaton D, Lee DS, Aljabri B, Wijeysundera DN, Rotstein OD, de Mestral C, Mamdani M, Roche-Nagle G, Al-Omran M. Li B, et al. Among authors: mamdani m. J Vasc Surg. 2024 Mar;79(3):593-608.e8. doi: 10.1016/j.jvs.2023.09.037. Epub 2023 Oct 5. J Vasc Surg. 2024. PMID: 37804954
636 results