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...

詳細記述

書誌詳細
出版年:IEEE Transactions on information technology in biomedicine 6, 2 (2002).
第一著者: Yanling Tong
フォーマット: 論文
言語:English
主題:
Adult intensive care patients.
Artificial neural networks.
Average squared error.
Correct classification rate.
Neonatal intensive care patients.
Overfitting.
Ventilation duration estimations.
Weight-elimination technique.