A Machine Learning Approach for High-Dimensional Time-to-Event Prediction With Application to Immunogenicity of Biotherapies in the ABIRISK Cohort

Predicting immunogenicity for biotherapies using patient and drug-related factors represents nowadays a challenging issue. With the growing ability to collect massive amount of data, machine learning algorithms can provide efficient predictive tools. From the bio-clinical data collected in the multi...

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Detalles Bibliográficos
Autores principales: Duhazé, Julianne, Hässler, Signe, Bachelet, Delphine, Gleizes, Aude, Hacein-Bey-Abina, Salima, Allez, Matthieu, Deisenhammer, Florian, Fogdell-Hahn, Anna, Mariette, Xavier, Pallardy, Marc, Broët, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154163/
https://www.ncbi.nlm.nih.gov/pubmed/32318076
http://dx.doi.org/10.3389/fimmu.2020.00608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154163/
https://www.ncbi.nlm.nih.gov/pubmed/32318076
http://dx.doi.org/10.3389/fimmu.2020.00608

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