|Title:||International external validation of the SORG machine learning algorithms for predicting 90-day and 1-year survival of patients with spine metastases using a Taiwanese cohort||Authors:||Yang, Jiun-Jen
Fourman, Mitchell S
Bongers, Michiel E R
Karhade, Aditya V
Groot, Olivier Q
Schwab, Joseph H
|Keywords:||Body mass index; Neoplasm staging; Spine metastases; Surgical oncology; Survival; Taiwanese||Issue Date:||2-Feb-2021||Source:||The spine journal : official journal of the North American Spine Society||Abstract:||
Accurately predicting the survival of patients with spinal metastases is important for guiding surgical intervention. The SORG machine-learning (ML) algorithm for the 90-day and 1-year mortality of patients with metastatic cancer to the spine has been multiply validated, with a high degree of accuracy in both internal and external validation studies. However, prior external validations were conducted using patient groups located on the east coast of the United States, representing a generally homogeneous population. The aim of this study was to externally validate the SORG algorithms with a Taiwanese population.
|Appears in Collections:||醫學系|
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