Cargando…
Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality
Background: Several prediction models have been proposed for preoperative risk stratification for mortality. However, few studies have investigated postoperative risk factors, which have a significant influence on survival after surgery. This study aimed to develop prediction models using routine im...
Autores principales: | Cho, Jaehyeong, Park, Jimyung, Jeong, Eugene, Shin, Jihye, Ahn, Sangjeong, Park, Min Geun, Park, Rae Woong, Park, Yongkeun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706001/ https://www.ncbi.nlm.nih.gov/pubmed/34945743 http://dx.doi.org/10.3390/jpm11121271 |
Ejemplares similares
-
Comparative risk of incidence and clinical outcomes of COVID-19 among proton pump inhibitor and histamine-2 receptor antagonist short-term users: a nationwide retrospective cohort study
por: Park, Jimyung, et al.
Publicado: (2022) -
Should We Check the Routine Postoperative MRI for Hematoma in Spinal Decompression Surgery?
por: Shin, Hun-Kyu, et al.
Publicado: (2017) -
Incorporation of Korean Electronic Data Interchange Vocabulary into Observational Medical Outcomes Partnership Vocabulary
por: Seong, Yeonchan, et al.
Publicado: (2021) -
Preoperative Routine Laboratory Markers for Predicting Postoperative Recurrence and Death in Patients with Breast Cancer
por: Yoo, Young-Chul, et al.
Publicado: (2021) -
Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
por: Lee, Dong Yun, et al.
Publicado: (2023)