Articles with public access mandates - Danny EytanLearn more
Not available anywhere: 1
Distributions and behavior of vital signs in critically ill children by admission diagnosis
D Eytan, AJ Goodwin, R Greer, AM Guerguerian, M Mazwi, PC Laussen
Pediatric Critical Care Medicine 19 (2), 115-124, 2018
Mandates: Canadian Institutes of Health Research
Available somewhere: 7
A generic framework for real-time multi-channel neuronal signal analysis, telemetry control, and sub-millisecond latency feedback generation
C Zrenner, D Eytan, A Wallach, P Thier, S Marom
Frontiers in neuroscience 4, 173, 2010
Mandates: German Research Foundation
Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: a nationwide study
M Roimi, R Gutman, J Somer, A Ben Arie, I Calman, Y Bar-Lavie, ...
Journal of the American Medical Informatics Association 28 (6), 1188-1196, 2021
Mandates: US National Science Foundation
Learning unsupervised representations for icu timeseries
A Weatherhead, R Greer, MA Moga, M Mazwi, D Eytan, A Goldenberg, ...
Conference on Health, Inference, and Learning, 152-168, 2022
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Hemodynamic patterns before inhospital cardiac arrest in critically ill children: an exploratory study
E Erez, ML Mazwi, AM Marquez, MA Moga, D Eytan
Critical care explorations 3 (6), e0443, 2021
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
Analyzing continuous physiologic data to find hemodynamic signatures associated with new brain injury after congenital heart surgery
J Nicoll, J Somer, D Eytan, V Chau, D Marini, JM Lim, R Greer, S Aly, ...
Critical Care Explorations 4 (9), e0751, 2022
Mandates: Canadian Institutes of Health Research
Development and validation of a machine learning model for predicting illness trajectory and hospital resource utilization of COVID-19 hospitalized patients–a nationwide study
YBL Calman, U Gelbshtein, S Liverant-Taub, A Ziv, D Eytan, M Gorfine, ...
J Am Med Inform Assoc 28 (6), 1188-1196, 2021
Mandates: US National Science Foundation
Machine learning to support triage of children at risk for epileptic seizures in the pediatric intensive care unit
R Azriel, CD Hahn, T De Cooman, S Van Huffel, ET Payne, KL McBain, ...
Physiological Measurement 43 (9), 095003, 2022
Mandates: Canadian Institutes of Health Research
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