https://scholars.lib.ntu.edu.tw/handle/123456789/629820
Title: | 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 | Authors: | 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 |
Keywords: | Asian cohort; External validation; Lumbar disc herniation surgery; Machine learning; Opioid prescription | Issue Date: | Jul-2022 | Publisher: | ELSEVIER SCIENCE INC | Journal Volume: | 22 | Journal Issue: | 7 | Start page/Pages: | 1119 | Source: | The spine journal : official journal of the North American Spine Society | Abstract: | 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 |
Appears in Collections: | 醫學院附設醫院 (臺大醫院) |
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