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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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