4 citations · 4 across the 4 of their papers we have counts for
4 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…
Mobile Encryption Gateway (MEG) for Email Encryption
Gregory B Rehm, Michael Thompson, Brad Busenius +1
Email cryptography applications often suffer from major problems that prevent their widespread implementation. MEG, or the Mobile Encryption Gateway aims to fix the issues associat…