Automated Machine Learning in Predicting 30-Day Mortality in Patients with Non-Cholestatic Cirrhosis

Objective: To evaluate the feasibility of automated machine learning (AutoML) in predicting 30-day mortality in non-cholestatic cirrhosis. Methods: A total of 932 cirrhotic patients were included from the First Affiliated Hospital of Soochow University between 2014 and 2020. Participants were divide...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Chenyan, Li, Yao, Yin, Minyue, Gao, Jingwen, Xi, Liting, Lin, Jiaxi, Liu, Lu, Zhang, Huixian, Wu, Airong, Xu, Chunfang, Liu, Xiaolin, Wang, Yue, Zhu, Jinzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693570/
https://www.ncbi.nlm.nih.gov/pubmed/36422105
http://dx.doi.org/10.3390/jpm12111930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693570/
https://www.ncbi.nlm.nih.gov/pubmed/36422105
http://dx.doi.org/10.3390/jpm12111930

Ejemplares similares