학술논문

Using machine learning to predict perfusionists' critical decision-making during cardiac surgery.
Document Type
Article
Source
Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; May2022, Vol. 10 Issue 3, p308-312, 5p
Subject
CARDIAC surgery
CARDIOPULMONARY bypass
DECISION making
OPERATING rooms
MACHINE learning
PATIENT safety
Language
ISSN
21681163
Abstract
Copyright of Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)