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Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?, , , , and . CoRR, (2021)Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit., , , , , , , and . IEEE Pervasive Comput., 19 (3): 68-78 (2020)A Computational System for Detecting the Acute Respiratory Distress Syndrome Using Physiologic Waveform Data from Mechanical Ventilators.. University of California, Davis, USA, (2021)An Automatic, Multi-Algorithm Approach to Classify Ventilator Waveforms., , , , , , and . AMIA, AMIA, (2016)Mobile Encryption Gateway (MEG) for Email Encryption., , , and . CoRR, (2017)Development of a research-oriented system for collecting mechanical ventilator waveform data., , , , , , , and . J. Am. Medical Informatics Assoc., 25 (3): 295-299 (2018)Clinical Validation of Single-Chamber Model-Based Algorithms Used to Estimate Respiratory Compliance., , , , , and . CoRR, (2021)Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator Mode., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 318-322. IOS Press, (2019)