Combining Kernel and Model Based Learning for HIV Therapy Selection

We present a mixture-of-experts approach for HIV therapy selection. The heterogeneity in patient data makes it difficult for one particular model to succeed at providing suitable therapy predictions for all patients. An appropriate means for addressing this heterogeneity is through combining kernel...

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Detalles Bibliográficos
Autores principales: Parbhoo, Sonali, Bogojeska, Jasmina, Zazzi, Maurizio, Roth, Volker, Doshi-Velez, Finale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543338/
https://www.ncbi.nlm.nih.gov/pubmed/28815137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543338/
https://www.ncbi.nlm.nih.gov/pubmed/28815137

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