Privacy-preserving dataset combination and Lasso regression for healthcare predictions

BACKGROUND: Recent developments in machine learning have shown its potential impact for clinical use such as risk prediction, prognosis, and treatment selection. However, relevant data are often scattered across different stakeholders and their use is regulated, e.g. by GDPR or HIPAA. As a concrete...

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Detalles Bibliográficos
Autores principales: van Egmond, Marie Beth, Spini, Gabriele, van der Galien, Onno, IJpma, Arne, Veugen, Thijs, Kraaij, Wessel, Sangers, Alex, Rooijakkers, Thomas, Langenkamp, Peter, Kamphorst, Bart, van de L’Isle, Natasja, Kooij-Janic, Milena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445286/
https://www.ncbi.nlm.nih.gov/pubmed/34530824
http://dx.doi.org/10.1186/s12911-021-01582-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445286/
https://www.ncbi.nlm.nih.gov/pubmed/34530824
http://dx.doi.org/10.1186/s12911-021-01582-y

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