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ED Revisits Forecasting: Utilizing Latent Models.

, and . IntelliSys (2), volume 1038 of Advances in Intelligent Systems and Computing, page 696-702. Springer, (2019)

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The Influence of EHR Components on Admission Decisions., , and . AMCIS, Association for Information Systems, (2012)Return visits to the emergency department: An analysis using group based curve models., and . Health Informatics J., 28 (2): 146045822211054 (2022)ED Revisits Forecasting: Utilizing Latent Models., and . IntelliSys (2), volume 1038 of Advances in Intelligent Systems and Computing, page 696-702. Springer, (2019)Too much information? The use of extraneous information to support decision-making in emergency settings., , , and . Decis. Sci., 54 (6): 632-650 (December 2023)Analyzing Patients' EHR: Predicting and Explaining Admission Consequences for COPD and Liver Disease Patients., and . ICIS, Association for Information Systems, (2023)Disease evolution and risk-based disease trajectories in congestive heart failure patients., , , , and . J. Biomed. Informatics, (2022)Cluster Evolution Analysis of Congestive Heart Failure Patients., , , , and . ICIS, Association for Information Systems, (2019)The Contribution of Information Technology to Emergency Medicine., , and . AMCIS, Association for Information Systems, (2011)Analyzing Hospital Readmissions Using Creatinine Results for Patients with Many Visits., , , and . EUSPN/ICTH, volume 98 of Procedia Computer Science, page 357-361. Elsevier, (2016)On Analyzing Readmissions Using A Trajectory Model: Evidence From Israel., , , , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1063. IOS Press, (2015)