Multi-Omic Admission-Based Prognostic Biomarkers Identified by Machine Learning Algorithms Predict Patient Recovery and 30-Day Survival in Trauma Patients

Admission-based circulating biomarkers for the prediction of outcomes in trauma patients could be useful for clinical decision support. It is unknown which molecular classes of biomolecules can contribute biomarkers to predictive modeling. Here, we analyzed a large multi-omic database of over 8500 m...

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Detalles Bibliográficos
Autores principales: Abdelhamid, Sultan S., Scioscia, Jacob, Vodovotz, Yoram, Wu, Junru, Rosengart, Anna, Sung, Eunseo, Rahman, Syed, Voinchet, Robert, Bonaroti, Jillian, Li, Shimena, Darby, Jennifer L., Kar, Upendra K., Neal, Matthew D., Sperry, Jason, Das, Jishnu, Billiar, Timothy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500723/
https://www.ncbi.nlm.nih.gov/pubmed/36144179
http://dx.doi.org/10.3390/metabo12090774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500723/
https://www.ncbi.nlm.nih.gov/pubmed/36144179
http://dx.doi.org/10.3390/metabo12090774

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