Cargando…
Prediction of Postoperative Pulmonary Edema Risk Using Machine Learning
Postoperative pulmonary edema (PPE) is a well-known postoperative complication. We hypothesized that a machine learning model could predict PPE risk using pre- and intraoperative data, thereby improving postoperative management. This retrospective study analyzed the medical records of patients aged...
Autores principales: | Kim, Jong Ho, Kim, Youngmi, Yoo, Kookhyun, Kim, Minguan, Kang, Seong Sik, Kwon, Young-Suk, Lee, Jae Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10003313/ https://www.ncbi.nlm.nih.gov/pubmed/36902590 http://dx.doi.org/10.3390/jcm12051804 |
Ejemplares similares
-
Effect of the preoperative physical status on postoperative nausea and vomiting risk: a matched cohort study
por: Kim, Jong Ho, et al.
Publicado: (2022) -
Effect of Intra- and Post-Operative Fluid and Blood Volume on Postoperative Pulmonary Edema in Patients with Intraoperative Massive Bleeding
por: Kwon, Young-Suk, et al.
Publicado: (2021) -
Harnessing Machine Learning for Prediction of Postoperative Pulmonary Complications: Retrospective Cohort Design
por: Kim, Jong-Ho, et al.
Publicado: (2023) -
Predictive model for difficult laryngoscopy using machine learning: retrospective cohort study
por: Kim, Jong Ho, et al.
Publicado: (2021) -
Postoperative Nausea and Vomiting Prediction: Machine Learning Insights from a Comprehensive Analysis of Perioperative Data
por: Kim, Jong-Ho, et al.
Publicado: (2023)