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Multiple Kernel Learning with Random Effects for Predicting Longitudinal Outcomes and Data Integration

Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although kernel-based statistical learning methods are proven to be powerfu...

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Detalhes bibliográficos
Publicado no:Biometrics
Main Authors: Chen, Tianle, Zeng, Donglin, Wang, Yuanjia
Formato: Artigo
Idioma:Inglês
Publicado em: 2015
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4713389/
https://ncbi.nlm.nih.gov/pubmed/26177419
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12343
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