University of Queensland vital signs dataset: development of an accessible repository of anesthesia patient monitoring data for research.


Abstract

The present dataset provides clinical anesthesia monitoring data from entire surgical cases where patients underwent anesthesia, includes a wide range of vital signs variables that are commonly monitored during surgery, and is published in accessible, user-friendly file formats.

The text and image file formats let researchers without engineering or computer science backgrounds easily access the data using standard spreadsheet and image browsing software.

In future work, monitoring data should be collected from a wider range and larger number of cases, and software tools are needed to support searching and navigating the database.


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Autores


Fecha de publicación

2012-02-23


Revista

Anesthesia and analgesia
Anesth Analg (1526-7598)

Temas de la revista


Idioma

Eng.


Copyright

Anesthesia and analgesia

School of Information Technology and Electrical Engineering, The University of Queensland St Lucia QLD 4072, Brisbane, Australia. naskies [at] acm.org


Referencia de entrega

Anesth Analg. 2012 Mar;114(3):584-9



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