Development and Validation of Deep Learning Models for the Prediction of Intraoperative Hypotension

Published: 3 December 2020| Version 2 | DOI: 10.17632/wdpxsyrg2s.2
Contributor:
Solam Lee

Description

A companion code repository for the research, "Development and Validation of Deep Learning Models for the Prediction of Intraoperative Hypotension". The data analysed for the development and validation of the models in this study are available in the VitalDB (https://vitaldb.net). The code and the result for data quality control is available in the following repository (https://github.com/vitaldb/examples/blob/master/vitaldb_quality_check.ipynb).

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Institutions

Yonsei University

Categories

Artificial Intelligence, Anesthesiology, Blood Pressure, Hypotension, Deep Learning, Neural Network

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