Kelen, Gabor

Machine-Learning-Based Electronic Triage More Accurately Differentiates Patients With Respect to Clinical Outcomes Compared With the Emergency Severity Index

Levin, S., Toerper, M., Hamrock, E., Hinson, J. S., Barnes, S., Gardner, H., Dugas, A., Linton, B., Kirsch, T., & Kelen, G. (2018) · Annals of Emergency Medicine

Emergency and Acute Care StudiesMachine Learning in Healthcare

Cited by 424

A Randomized Controlled Trial of the Effect of Service Delivery Information on Patient Satisfaction in an Emergency Department Fast Track

McCarthy, M. L., Ding, R., Zeger, S. L., Agada, N. O., Bessman, S. C., Chiang, W., Kelen, G. D., Scheulen, J. J., & Bessman, E. S. (2011) · Academic Emergency Medicine

Emergency and Acute Care StudiesPatient Satisfaction in Healthcare

Cited by 46

Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions

Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 30