CLEP: a hybrid data- and knowledge-driven framework for generating patient representations

SUMMARY: As machine learning and artificial intelligence increasingly attain a larger number of applications in the biomedical domain, at their core, their utility depends on the data used to train them. Due to the complexity and high dimensionality of biomedical data, there is a need for approaches...

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Detalles Bibliográficos
Autores principales: Bharadhwaj, Vinay Srinivas, Ali, Mehdi, Birkenbihl, Colin, Mubeen, Sarah, Lehmann, Jens, Hofmann-Apitius, Martin, Hoyt, Charles Tapley, Domingo-Fernández, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504642/
https://www.ncbi.nlm.nih.gov/pubmed/33964127
http://dx.doi.org/10.1093/bioinformatics/btab340

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504642/
https://www.ncbi.nlm.nih.gov/pubmed/33964127
http://dx.doi.org/10.1093/bioinformatics/btab340

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