"Using machine learning to predict perfusionists' critical decision-making ..."

Roger D. Dias et al. (2022)

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DOI: 10.1080/21681163.2021.2002724

access: closed

type: Journal Article

metadata version: 2024-02-24

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Roger D. Dias, Marco A. Zenati, Geoffrey Rance, Srey Rithy, David Arney, Letian Chen, Rohan R. Paleja, Lauren R. Kennedy-Metz, Matthew C. Gombolay:
Using machine learning to predict perfusionists' critical decision-making during cardiac surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(3): 308-312 (2022)

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