https://scholars.lib.ntu.edu.tw/handle/123456789/629820
標題: | A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 patients from a Taiwanese cohort | 作者: | Yen, Hung-Kuan Ogink, Paul T CHUAN-CHING HUANG Groot, Olivier Q Su, Chih-Chi Chen, Shin-Fu CHIH-WEI CHEN Karhade, Aditya V Peng, Kuang-Ping WEI-HSIN LIN HONGSEN CHIANG Yang, Jiun-Jen Dai, Shih-Hsiang Yen, Mao-Hsu Verlaan, Jorrit-Jan Schwab, Joseph H Wong, Tze-Hong SHU-HUA YANG MING-HSIAO HU |
關鍵字: | Asian cohort; External validation; Lumbar disc herniation surgery; Machine learning; Opioid prescription | 公開日期: | 七月-2022 | 出版社: | ELSEVIER SCIENCE INC | 卷: | 22 | 期: | 7 | 起(迄)頁: | 1119 | 來源出版物: | The spine journal : official journal of the North American Spine Society | 摘要: | Preoperative prediction of prolonged postoperative opioid prescription helps identify patients for increased surveillance after surgery. The SORG machine learning model has been developed and successfully tested using 5,413 patients from the United States (US) to predict the risk of prolonged opioid prescription after surgery for lumbar disc herniation. However, external validation is an often-overlooked element in the process of incorporating prediction models in current clinical practice. This cannot be stressed enough in prediction models where medicolegal and cultural differences may play a major role. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629820 | ISSN: | 1529-9430 | DOI: | 10.1016/j.spinee.2022.02.009 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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