Mortality Risk Factors in Pediatric Onco-Critical Care Patients and Machine Learning Derived Early Onco-Critical Care Phenotypes in a Retrospective Cohort

OBJECTIVES: To use supervised and unsupervised statistical methodology to determine risk factors associated with mortality in critically ill pediatric oncology patients to identify patient phenotypes of interest for future prospective study. DESIGN: This retrospective cohort study included nonsurgic...

Descripción completa

Detalles Bibliográficos
Autores principales: Flerlage, Tim, Fan, Kimberly, Qin, Yidi, Agulnik, Asya, Arias, Anita V., Cheng, Cheng, Elbahlawan, Lama, Ghafoor, Saad, Hurley, Caitlin, McArthur, Jennifer, Morrison, R. Ray, Zhou, Yinmei, Park, H.J., Carcillo, Joseph A., Hines, Melissa R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538916/
https://www.ncbi.nlm.nih.gov/pubmed/37780176
http://dx.doi.org/10.1097/CCE.0000000000000976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538916/
https://www.ncbi.nlm.nih.gov/pubmed/37780176
http://dx.doi.org/10.1097/CCE.0000000000000976

Ejemplares similares