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 LeeDescription
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).
Files
Institutions
Yonsei University
Categories
Artificial Intelligence, Anesthesiology, Blood Pressure, Hypotension, Deep Learning, Neural Network