Predicting disease risks from highly imbalanced data using random forest

BACKGROUND: We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health co...

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Detalles Bibliográficos
Autores principales: Khalilia, Mohammed, Chakraborty, Sounak, Popescu, Mihail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163175/
https://www.ncbi.nlm.nih.gov/pubmed/21801360
http://dx.doi.org/10.1186/1472-6947-11-51

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163175/
https://www.ncbi.nlm.nih.gov/pubmed/21801360
http://dx.doi.org/10.1186/1472-6947-11-51

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