https://scholars.lib.ntu.edu.tw/handle/123456789/577422
標題: | 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 | 作者: | Yang, Jiun-Jen CHIH-WEI CHEN Fourman, Mitchell S Bongers, Michiel E R Karhade, Aditya V Groot, Olivier Q WEI-HSIN LIN Yen, Hung-Kuan Huang, Po-Hao SHU-HUA YANG Schwab, Joseph H MING-HSIAO HU |
關鍵字: | Body mass index; Neoplasm staging; Spine metastases; Surgical oncology; Survival; Taiwanese | 公開日期: | 2-二月-2021 | 來源出版物: | The spine journal : official journal of the North American Spine Society | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/577422 | ISSN: | 15299430 | DOI: | 10.1016/j.spinee.2021.01.027 | SDG/關鍵字: | albumin; alkaline phosphatase; creatinine; hemoglobin; adult; aged; Article; body mass; calibration; cancer mortality; cancer patient; cancer staging; cancer survival; clinical assessment; cohort analysis; comparative study; female; histology; human; huma |
顯示於: | 醫學系 |
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