Cargando…
Machine Learning-Based Models for Prediction of Critical Illness at Community, Paramedic, and Hospital Stages
Overcrowding of emergency department (ED) has put a strain on national healthcare systems and adversely affected the clinical outcomes of critically ill patients. Early identification of critically ill patients prior to ED visits can help induce optimal patient flow and allocate medical resources ef...
Autores principales: | Lee, Sijin, Park, Hyun Ji, Hwang, Jumi, Lee, Sung Woo, Han, Kap Su, Kim, Won Young, Jeong, Jinwoo, Kang, Hyunggoo, Kim, Armi, Lee, Chulung, Kim, Su Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10317605/ https://www.ncbi.nlm.nih.gov/pubmed/37404873 http://dx.doi.org/10.1155/2023/1221704 |
Ejemplares similares
-
Emergency department utilization and risk factors for mortality in older patients: an analysis of Korean National Emergency Department Information System data
por: Kim, Soyoon, et al.
Publicado: (2021) -
A Propensity Score-Matched Comparison of In-Hospital Mortality between Dedicated Regional Trauma Centers and Emergency Medical Centers in the Republic of Korea
por: Choi, Yuri, et al.
Publicado: (2022) -
Prolonged Length of Stay in the Emergency Department and Increased Risk of In-Hospital Cardiac Arrest: A nationwide Population-Based Study in South Korea, 2016–2017
por: Kim, June-sung, et al.
Publicado: (2020) -
Influence of the Level of Emergency Medical Facility on the Short-Term Treatment Results of Cardiac Arrest: Out-of-Hospital Cardiac Arrest and Interhospital Transfer
por: Chung, Je Young, et al.
Publicado: (2022) -
Development and validation of a scoring system for mortality prediction and application of standardized W statistics to assess the performance of emergency departments
por: Jeong, Jinwoo, et al.
Publicado: (2021)