Cargando…
Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study
The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates accurate prognosis prediction to triage patients effectively. This study used the nationwide cohort of South Korea to develop a machine learning model to predict prognosis based on sociodemographic and...
Autores principales: | An, Chansik, Lim, Hyunsun, Kim, Dong-Wook, Chang, Jung Hyun, Choi, Yoon Jung, Kim, Seong Woo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599238/ https://www.ncbi.nlm.nih.gov/pubmed/33127965 http://dx.doi.org/10.1038/s41598-020-75767-2 |
Ejemplares similares
-
Prediction of the risk of developing hepatocellular carcinoma in health screening examinees: a Korean cohort study
por: An, Chansik, et al.
Publicado: (2021) -
The socioeconomic impact of Korean dental health insurance policy on the elderly: a nationwide cohort study in South Korea
por: Seo, Hyewon, et al.
Publicado: (2019) -
Association between body mass index and mortality in the Korean elderly: A nationwide cohort study
por: Lee, Seung-Hyun, et al.
Publicado: (2018) -
Inhaled Corticosteroids and COVID-19 Risk and Mortality: A Nationwide Cohort Study
por: Choi, Jae Chol, et al.
Publicado: (2020) -
Clinical Characteristics of Asymptomatic Patients with COVID-19: A Nationwide Cohort Study in South Korea
por: Jung, Chan-Young, et al.
Publicado: (2020)