Levin, Scott
Johns Hopkins University · Johns Hopkins Medicine
6 papers on CoChatORCID 0000-0002-7143-7635
Most cited papers
- Verified
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
- Verified
Crowding Delays Treatment and Lengthens Emergency Department Length of Stay, Even Among High-Acuity Patients
McCarthy, M. L., Zeger, S. L., Ding, R., Levin, S. R., Desmond, J. S., Lee, J., & Aronsky, D. (2009) · Annals of Emergency Medicine
Emergency and Acute Care StudiesHealthcare Operations and Scheduling Optimization
Cited by 367
- Verified
An Electronic Emergency Triage System to Improve Patient Distribution by Critical Outcomes
Dugas, A. F., Kirsch, T. D., Toerper, M., Korley, F., Yenokyan, G., France, D., Hager, D., & Levin, S. (2016) · The Journal of Emergency Medicine
Emergency and Acute Care StudiesTrauma and Emergency Care Studies
Cited by 132
- Verified
Machine learning and artificial intelligence: applications in healthcare epidemiology
Hamilton, A. J., Strauss, A. T., Martinez, D. A., Hinson, J. S., Levin, S., Lin, G., & Klein, E. Y. (2021) · Antimicrobial Stewardship & Healthcare Epidemiology
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 58
- Verified
Evaluation of multidisciplinary collaboration in pediatric trauma care using EHR data
Durojaiye, A. B., Levin, S., Toerper, M., Kharrazi, H., Lehmann, H. P., & Gurses, A. P. (2019) · Journal of the American Medical Informatics Association
Electronic Health Records SystemsHospital Admissions and Outcomes
Cited by 32
- Verified
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
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