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. 2023 Dec 20;30(1):e100894. doi: 10.1136/bmjhci-2023-100894

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© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Clinical Text Analysis and Knowledge Extraction Systems (cTAKES)and XGBoost free-text algorithm. After free-text notes were extracted from the Sunrise Clinical Manager (SCM) electronic medical record (EMR), these notes were processed by document type using cTAKES. Boruta feature selection was employed and XGBoost classification model was fit. This diagram was adapted and modified from our previous work on hypertension.