Cargando…
Correction to: Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
Autores principales: | Lo, Yu-Tai, Liao, Jay Chiehen, Chen, Mei-Hua, Chang, Chia-Ming, Li, Cheng-Te |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953066/ https://www.ncbi.nlm.nih.gov/pubmed/35337321 http://dx.doi.org/10.1186/s12911-022-01804-x |
Ejemplares similares
-
Predictive modeling for 14-day unplanned hospital readmission risk by using machine learning algorithms
por: Lo, Yu-Tai, et al.
Publicado: (2021) -
Factors associated with early 14-day unplanned hospital readmission: a matched case–control study
por: Lo, Yu-Tai, et al.
Publicado: (2021) -
Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients
por: Welvaars, Koen, et al.
Publicado: (2023) -
Machine learning prediction of postoperative unplanned 30-day hospital readmission in older adult
por: Li, Linji, et al.
Publicado: (2022) -
Correction: Comparison of Unplanned Intensive Care Unit Readmission Scores: A Prospective Cohort Study
por: Rosa, Regis Goulart, et al.
Publicado: (2016)