Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm

Sepsis-associated thrombocytopenia (SAT) is a common complication in the intensive care unit (ICU), which significantly increases the mortality rate and leads to poor prognosis of diseases. Machine learning (ML) is widely used in disease prediction in critically ill patients. Here, we aimed to estab...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Xuandong, Wang, Yun, Pan, Yuting, Zhang, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829034/
https://www.ncbi.nlm.nih.gov/pubmed/35155506
http://dx.doi.org/10.3389/fmed.2022.837382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829034/
https://www.ncbi.nlm.nih.gov/pubmed/35155506
http://dx.doi.org/10.3389/fmed.2022.837382

Ejemplares similares