Crossmark

The application of a neural network to predict hypotension and vasopressor requirements non-invasively in obstetric patients having spinal anesthesia for elective cesarean section (C/S)

Crossref DOI link: https://doi.org/10.1186/s12871-020-01015-9

Published Online: 2020-05-01

Published Print: 2020-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gratz, Irwin

Baruch, Martin

Takla, Magdy

Seaman, Julia

Allen, Isabel

McEniry, Brian

Deal, Edward
License Information

Text and Data Mining valid from 2020-05-01

Version of Record valid from 2020-05-01
More Information

Article History

Received: 31 October 2019

Accepted: 16 April 2020

First Online: 1 May 2020

Ethics approval and consent to participate

: This study was approved by the Institutional Review Board of Cooper University Hospital (IRB #17–119) and all patients provided written informed consent.

: Not applicable.

: The following authors declare no competing interests: IG, MT, ED, IA, JS, and BM. MB declares MB is fully employed by Caretaker Medical LLC and has been involved in the development of both the CareTaker hardware as well as the PDA formalism. Since the CareTaker is a commercial device he stands to gain financially from the PDA formalism’s validation and acceptance.

Document is current

Any future updates will be listed below