Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019

Critically ill patients with coronavirus disease 2019 have variable mortality. Risk scores could improve care and be used for prognostic enrichment in trials. We aimed to compare machine learning algorithms and develop a simple tool for predicting 28-day mortality in ICU patients with coronavirus di...

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Detalles Bibliográficos
Autores principales: Churpek, Matthew M., Gupta, Shruti, Spicer, Alexandra B., Hayek, Salim S., Srivastava, Anand, Chan, Lili, Melamed, Michal L., Brenner, Samantha K., Radbel, Jared, Madhani-Lovely, Farah, Bhatraju, Pavan K., Bansal, Anip, Green, Adam, Goyal, Nitender, Shaefi, Shahzad, Parikh, Chirag R., Semler, Matthew W., Leaf, David E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378790/
https://www.ncbi.nlm.nih.gov/pubmed/34476402
http://dx.doi.org/10.1097/CCE.0000000000000515

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378790/
https://www.ncbi.nlm.nih.gov/pubmed/34476402
http://dx.doi.org/10.1097/CCE.0000000000000515

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