Scholars@Duke publication: A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital

A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital

Conferences

Theiling, B; Siewny, L; Perez, DSJV; Nickenig, VJR; Gerardo, C

Published in: ANNALS OF EMERGENCY MEDICINE

October 2024

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Duke Scholars

Author Brent Jason Theiling Emergency Medicine

Author Lauren Elizabeth Siewny Emergency Medicine

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Published In

ANNALS OF EMERGENCY MEDICINE

EISSN

1097-6760

ISSN

0196-0644

Publication Date

October 2024

Volume

Issue

Start / End Page

S158 / S159

Related Subject Headings

Emergency & Critical Care Medicine
3202 Clinical sciences

Citation

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MLA

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Theiling, B., Siewny, L., Perez, D. S. J. V., Nickenig, V. J. R., & Gerardo, C. (2024). A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital. In ANNALS OF EMERGENCY MEDICINE (Vol. 84, pp. S158–S159).

Theiling, B., L. Siewny, de Souza J. V. Perez, Vissoci J. R. Nickenig, and C. Gerardo. “A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital.” In ANNALS OF EMERGENCY MEDICINE, 84:S158–59, 2024.

Theiling B, Siewny L, Perez DSJV, Nickenig VJR, Gerardo C. A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital. In: ANNALS OF EMERGENCY MEDICINE. 2024. p. S158–9.

Theiling, B., et al. “A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital.” ANNALS OF EMERGENCY MEDICINE, vol. 84, no. 4, 2024, pp. S158–59.

Theiling B, Siewny L, Perez DSJV, Nickenig VJR, Gerardo C. A Comparative Analysis of Machine Learning Models in Predicting Emergency Department Patient Volumes in a University Hospital. ANNALS OF EMERGENCY MEDICINE. 2024. p. S158–S159.

Published In

ANNALS OF EMERGENCY MEDICINE

EISSN

1097-6760

ISSN

0196-0644

Publication Date

October 2024

Volume

Issue

Start / End Page

S158 / S159

Related Subject Headings

Emergency & Critical Care Medicine
3202 Clinical sciences