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. 2022 Oct 13;10(10):e42429. doi: 10.2196/42429

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©Tzu-Wei Tseng, Chang-Fu Su, Feipei Lai. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.10.2022.

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 Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

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System architecture used in this study. API: application programming interface; ETL: Extract Transform Load; FHIR: Fast Healthcare Interoperability Resources; HAPI: Health Level 7 application programming interface; HIS: healthcare information system; IHCA: in-hospital cardiac arrest; MLP: machine learning pipeline.