Effect of tidal volume in children with acute hypoxemic respiratory failure

By Robinder G. Khemani, David V. Conti, T. Alonzo, R. Bart, C. Newth. 2009

159 citations recorded by the source corpus.

Subfields: Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sanjay Purushotham
2. Zhengping Che
3. Yan Liu
4. Robinder G. Khemani
5. Hao Wang
6. Zachary Chase Lipton
7. Alfredo Vellido
8. Edward Choi

Citations in the corpus

• Distilling Knowledge from Deep Networks with Applications to Healthcare Domain (2015, background): “QUANTITATIVE RESULTS • Dataset: Acute hypoxemic respiratory failure data of 398 child patients [7] • Two tasks: – MOR: Predict whether the patient dies within 60 days after admission.”
• Interpretable Deep Models for ICU Outcome Prediction (2016, background): “We notice that the most important tree includes features, such as OI, LIS, Delta-PF, in the top features for VFD task, which again agrees well with earlier findings 35 .”