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Keyword

eICU

Description: A name associated with electronic intensive care unit data used in clinical research and predictive modeling; its exact expansion is unclear from the titles.
OpenAlex ID: keywords/eicu
Mechanical power of ventilation is associated with mortality in critically ill patients: an analysis of patients in two observational cohorts
2018 · Ary Serpa Neto, Rodrigo Octavio Deliberato, et al. · Intensive Care Medicine · 613
Effect of a multiple-site intensive care unit telemedicine program on clinical and economic outcomes: An alternative paradigm for intensivist staffing*
2004 · Michael J. Breslow, Brian A. Rosenfeld, et al. · Critical Care Medicine · 383
The Technology Acceptance Model
2010 · YANIKA KOWITLAWAKUL · CIN Computers Informatics Nursing · 272
Benchmarking machine learning models on multi-centre eICU critical care dataset
2020 · Seyedmostafa Sheikhalishahi, Vevake Balaraman, et al. · PLoS ONE · 88
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SOM-VAE: Interpretable Discrete Representation Learning on Time Series
2018 · Fortuin, Vincent, Hüser, Matthias, et al. · arXiv (Cornell University) · 85
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Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit
2021 · Emma Rocheteau, Pietro Liò, et al. · 70
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A Second Set of Eyes: An Introduction to Tele-ICU
2010 · Susan F. Goran · Critical Care Nurse · 67
Does Telemonitoring Of Patients—The eICU—Improve Intensive Care?
2009 · Robert A. Berenson, Joy M. Grossman, et al. · Health Affairs · 63
External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
2025 · Patrick Rockenschaub, Ela Marie Akay, et al. · BMC Medical Informatics and Decision Making · 57
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A recurrent machine learning model predicts intracranial hypertension in neurointensive care patients
2021 · Nils Schweingruber, Marius Marc Daniel Mader, et al. · Brain · 57
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Clinical Phenotypes of Sepsis-associated Encephalopathy: a Retrospective Cohort Study
2023 · Xin Lu, Mubing Qin, et al. · Shock · 55
Using machine learning for the early prediction of sepsis-associated ARDS in the ICU and identification of clinical phenotypes with differential responses to treatment
2022 · Yu Bai, Jingen Xia, et al. · Frontiers in Physiology · 53
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Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU
2023 · Wanqiu Xie, Yue Li, et al. · International Journal of Medical Informatics · 52
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation
2020 · Bernhard Wernly, Behrooz Mamandipoor, et al. · International Journal of Medical Informatics · 52
Multi-channel fusion LSTM for medical event prediction using EHRs
2022 · Sicen Liu, Xiaolong Wang, et al. · Journal of Biomedical Informatics · 51
Implementation of pharmacy services in a telemedicine intensive care unit
2008 · Tracy M. Meidl, Thomas W. Woller, et al. · American Journal of Health-System Pharmacy · 48
Novel criteria to classify ARDS severity using a machine learning approach
2021 · Mohammed Sayed, David Riaño, et al. · Critical Care · 44
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Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine Learning
2021 · Mohammed Sayed, David Riaño, et al. · Journal of Clinical Medicine · 43
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Improving mortality prediction in Acute Pancreatitis by machine learning and data augmentation
2022 · M. Asad Bin Hameed, Zareen Alamgir · Computers in Biology and Medicine · 42
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding
2021 · Riccardo Levi, Francesco Carli, et al. · BMJ Health & Care Informatics · 42
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Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery
2022 · Liu Ye, Haoming Shi, et al. · Frontiers in Cardiovascular Medicine · 38
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Evaluation of ICU Risk Models Adapted for Use as Continuous Markers of Severity of Illness Throughout the ICU Stay*
2018 · Omar Badawi, Xinggang Liu, et al. · Critical Care Medicine · 38
Reliable generation of privacy-preserving synthetic electronic health record time series via diffusion models
2024 · Muhang Tian, Bernie Chen, et al. · Journal of the American Medical Informatics Association · 37
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Working in an eICU Unit: Life in the Box
2008 · Trudi B. Stafford, Mary A. Myers, et al. · Critical Care Nursing Clinics of North America · 37
A Survey of Deep Learning for Electronic Health Records
2022 · Jiabao Xu, Xuefeng Xi, et al. · Applied Sciences · 33
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Works count: 605
Citation count: 4,018
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