A comparative study: classification vs. user-based collaborative filtering for clinical prediction

BACKGROUND: Recommender systems have shown tremendous value for the prediction of personalized item recommendations for individuals in a variety of settings (e.g., marketing, e-commerce, etc.). User-based collaborative filtering is a popular recommender system, which leverages an individuals’ prior...

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Detalles Bibliográficos
Autores principales: Hao, Fang, Blair, Rachael Hageman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5146891/
https://www.ncbi.nlm.nih.gov/pubmed/27931207
http://dx.doi.org/10.1186/s12874-016-0261-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5146891/
https://www.ncbi.nlm.nih.gov/pubmed/27931207
http://dx.doi.org/10.1186/s12874-016-0261-9

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