Extending ventilation duration estimations approach from adult to neonatal intensive care patients using artificial neural networks.

Extending ventilation duration estimations approach from adult to neonatal intensive care patients using artificial neural networks.

In earlier work, the research group successfully used artificial neural networks (ANNs) to estimate ventilation duration for adult intensive care unit (ICU) patients. The ANNs performed well in terms of correct classification rate (CCR) and average squared error (ASE) classifying the outcome into tw...

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Bibliographic Details
Published in:IEEE Transactions on information technology in biomedicine 6, 2 (2002).
Main Author: Yanling Tong
Format: Article
Language:English
Subjects:
Adult intensive care patients.
Artificial neural networks.
Average squared error.
Correct classification rate.
Neonatal intensive care patients.
Overfitting.
Ventilation duration estimations.
Weight-elimination technique.