Predicting the probability of death using proteomics

Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels of 4,684 plasma proteins in 22,913 Icelanders to develop all-cause mortalit...

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Detalles Bibliográficos
Autores principales: Eiriksdottir, Thjodbjorg, Ardal, Steinthor, Jonsson, Benedikt A., Lund, Sigrun H., Ivarsdottir, Erna V., Norland, Kristjan, Ferkingstad, Egil, Stefansson, Hreinn, Jonsdottir, Ingileif, Holm, Hilma, Rafnar, Thorunn, Saemundsdottir, Jona, Norddahl, Gudmundur L., Thorgeirsson, Gudmundur, Gudbjartsson, Daniel F., Sulem, Patrick, Thorsteinsdottir, Unnur, Stefansson, Kari, Ulfarsson, Magnus O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213855/
https://www.ncbi.nlm.nih.gov/pubmed/34145379
http://dx.doi.org/10.1038/s42003-021-02289-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213855/
https://www.ncbi.nlm.nih.gov/pubmed/34145379
http://dx.doi.org/10.1038/s42003-021-02289-6

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