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Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department
Background: Syncope, a common problem encountered in the emergency department (ED), has a multitude of causes ranging from benign to life-threatening. Hospitalization may be required, but the management can vary substantially depending on specific clinical characteristics. Models predicting admissio...
Autores principales: | Lee, Sangil, Reddy Mudireddy, Avinash, Kumar Pasupula, Deepak, Adhaduk, Mehul, Barsotti, E. John, Sonka, Milan, Statz, Giselle M., Bullis, Tyler, Johnston, Samuel L., Evans, Aron Z., Olshansky, Brian, Gebska, Milena A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864075/ https://www.ncbi.nlm.nih.gov/pubmed/36675668 http://dx.doi.org/10.3390/jpm13010007 |
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