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. 2022 Jun 13;6(6):e36501. doi: 10.2196/36501

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©Ryo Fujimori, Keibun Liu, Shoko Soeno, Hiromu Naraba, Kentaro Ogura, Konan Hara, Tomohiro Sonoo, Takayuki Ogura, Kensuke Nakamura, Tadahiro Goto. Originally published in JMIR Formative Research (https://formative.jmir.org), 13.06.2022.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

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A real-time clinical decision support system with Emergency Alert System for predicting aortic dissection based on numeric and text information from medical charts (eg, chief complaints, medical history, vital signs) organized using natural language processing.