[HTML][HTML] Development of a machine learning algorithm for predicting in-hospital and 1-year mortality after traumatic spinal cord injury
…, Z Waheed, CS Rivers, T Plashkes, M Bedi… - The spine journal, 2022 - Elsevier
Background Context Current prognostic tools such as the Injury Severity Score (ISS) that
predict mortality following trauma do not adequately consider the unique characteristics of …
predict mortality following trauma do not adequately consider the unique characteristics of …
[PDF][PDF] Statistical Machine Translation using Ordinal Regression and Beam Search Decoder
A Patel, S Narayan, M Bedi, S Muralidharan - sfu.ca
In this work, we explore several approaches to improve machine translation, especially
focusing on iteratively improving the performance of decoder-reranker system. We train our …
focusing on iteratively improving the performance of decoder-reranker system. We train our …
Canadian Spine Society1. 01: Do lumbar decompression and fusion patients recall their preoperative status? Recall bias in patient-reported outcomes1. 02: Trends …
…, SE Park, E Chan, T Plashkes, M Dvorak, M Bedi… - 2016 - canjsurg.ca
Background: To characterize the accuracy of patient recall of preoperative symptoms in a
cohort of lumbar spine surgery patients. Methods: We analyzed consecutive patients …
cohort of lumbar spine surgery patients. Methods: We analyzed consecutive patients …
[CITATION][C] Volume 22 Number 2 February 2022
JF Bailey, P Nyayapati, GTA Johnson, L Dziesinski… - 2022