4 citations · 5 across the 4 of their papers we have counts for
5 papers
Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
Gregory B. Rehm, Chao Wang, Irene Cortes-Puch +2
The acute respiratory distress syndrome (ARDS) is a severe form of hypoxemic respiratory failure with in-hospital mortality of 35-46%. High mortality is thought to be related in pa…
Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance
Gregory Rehm, Jimmy Nguyen, Chelsea Gilbeau +3
Non-invasive estimation of respiratory physiology using computational algorithms promises to be a valuable technique for future clinicians to detect detrimental changes in patient…
Improving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode
Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen +3
Clinical decision support systems (CDSS) will play an in-creasing role in improving the quality of medical care for critically ill patients. However, due to limitations in current…
Anomaly Detection in Hierarchical Data Streams under Unknown Models
Sattar Vakili, Qing Zhao, Chang Liu +1
We consider the problem of detecting a few targets among a large number of hierarchical data streams. The data streams are modeled as random processes with unknown and potentially…
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao +3
Content popularity prediction has been extensively studied due to its importance and interest for both users and hosts of social media sites like Facebook, Instagram, Twitter, and…