This paper is in the following e-collection/theme issue:

Machine Learning (1501) Artificial Intelligence (1421) Big Data (245) Novel Sensors and Data Acquisition Methods in Cardiology (200) Advanced Data Analytics in eHealth (142)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24762, first published .
Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data

Authors of this article:

Hyun-Lim Yang1, 2 Author Orcid Image ;   Chul-Woo Jung1, 3 Author Orcid Image ;   Seong Mi Yang1, 3 Author Orcid Image ;   Min-Soo Kim4 Author Orcid Image ;   Sungho Shim5 Author Orcid Image ;   Kook Hyun Lee1, 3 Author Orcid Image ;   Hyung-Chul Lee1, 3 Author Orcid Image
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