Gregory B. Rehm

According to our database, Gregory B. Rehm authored at least 8 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

A Computational System for Detecting the Acute Respiratory Distress Syndrome Using Physiologic Waveform Data from Mechanical Ventilators.

Gregory B. Rehm

PhD thesis, 2021

Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?

Gregory B. Rehm, Chao Wang, Irene Cortes-Puch, Chen-Nee Chuah, Jason Y. Adams

CoRR, 2021

Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance.

Gregory B. Rehm, Jimmy Nguyen, Chelsea Gilbeau, Marc T. Bomactao, Chen-Nee Chuah, Jason Y. Adams

CoRR, 2021

2020

Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit.

Gregory B. Rehm, Sang Hoon Woo, Xin Luigi Chen, Brooks T. Kuhn, Irene Cortes-Puch, Nicholas R. Anderson, Jason Y. Adams, Chen-Nee Chuah

IEEE Pervasive Comput., 2020

2019

Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator Mode.

Gregory B. Rehm, Brooks T. Kuhn, Jimmy Nguyen, Nicholas R. Anderson, Chen-Nee Chuah, Jason Y. Adams

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

Development of a research-oriented system for collecting mechanical ventilator waveform data.

Gregory B. Rehm, Brooks Kuhn, Jean-Pierre Delplanque, Edward Guo, Monica Lieng, Jimmy Nguyen, Nicholas R. Anderson, Jason Y. Adams

J. Am. Medical Informatics Assoc., 2018

2017

Mobile Encryption Gateway (MEG) for Email Encryption.

Gregory B. Rehm, Michael Thompson, Brad Busenius, Jennifer Fowler

CoRR, 2017

2016

An Automatic, Multi-Algorithm Approach to Classify Ventilator Waveforms.

Monica Lieng, Brooks Kuhn, Gregory B. Rehm, Edward Guo, Jean-Pierre Delplanque, Nick R. Anderson, Jason Y. Adams

Proceedings of the AMIA 2016, 2016