An Automatic, Multi-Algorithm Approach to Classify Ventilator Waveforms. - Monica Lieng; Brooks Kuhn; Gregory B. Rehm; Edward Guo; Jean-Pierre Delplanque; Nick R. Anderson 001; Jason Y. Adams (AMIA, 2016)

Mobile Encryption Gateway (MEG) for Email Encryption. - Gregory B. Rehm; Michael Thompson; Brad Busenius; Jennifer Fowler (CoRR, 2017)

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 001; Jason Y. Adams (J. Am. Medical Informatics Assoc., 2018)

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 001; Chen-Nee Chuah; Jason Y. Adams (MedInfo, 2019)

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 001; Jason Y. Adams; Chen-Nee Chuah (IEEE Pervasive Comput., 2020)

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)

Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning? - Gregory B. Rehm; Chao Wang 067; Irene Cortes-Puch; Chen-Nee Chuah; Jason Y. Adams (CoRR, 2021)

A Computational System for Detecting the Acute Respiratory Distress Syndrome Using Physiologic Waveform Data from Mechanical Ventilators. - Gregory B. Rehm (2021)