activity
20172026
most citedImproving Mechanical Ventilator Clinical Decision Support Systems with A Machine Learning Classifier for Determining Ventilator Mode

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MA2026

Can Agents Adapt Their Institutions And Sacrifice Themselves During Collapse? Executable Self-Governance in a GovSim Commons

Gregory B. Rehm

LLM agents are beginning to write the rules they live under: policies, contracts and code that other agents review and approve. What happens when those rules must decide who is sac…

cs.LG2021

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…

q-bio.QM2021

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…

cs.LG2019★ 4 cited

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…

cs.CR2017

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…